JP3502978B2 - Video signal processing device - Google Patents

Video signal processing device

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Publication number
JP3502978B2
JP3502978B2 JP25216598A JP25216598A JP3502978B2 JP 3502978 B2 JP3502978 B2 JP 3502978B2 JP 25216598 A JP25216598 A JP 25216598A JP 25216598 A JP25216598 A JP 25216598A JP 3502978 B2 JP3502978 B2 JP 3502978B2
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Japan
Prior art keywords
area
signal
means
color
video signal
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Expired - Lifetime
Application number
JP25216598A
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Japanese (ja)
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JPH11146405A (en
Inventor
徹也 久野
和昭 小嶋
武 山田
博明 杉浦
Original Assignee
三菱電機株式会社
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Filing date
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Priority to JP391792 priority Critical
Priority to JP445392 priority
Priority to JP4458192 priority
Priority to JP10745192 priority
Priority to JP16105792 priority
Priority to JP16105892 priority
Priority to JP20892992 priority
Priority to JP20893092 priority
Priority to JP22269992 priority
Priority to JP4-222699 priority
Priority to JP4-44581 priority
Priority to JP4-208930 priority
Priority to JP4-3917 priority
Priority to JP4-107451 priority
Priority to JP4-4453 priority
Priority to JP22269892 priority
Priority to JP4-161058 priority
Priority to JP4-208929 priority
Priority to JP4-161057 priority
Priority to JP4-222698 priority
Priority to JP25216598A priority patent/JP3502978B2/en
Application filed by 三菱電機株式会社 filed Critical 三菱電機株式会社
Publication of JPH11146405A publication Critical patent/JPH11146405A/en
Application granted granted Critical
Publication of JP3502978B2 publication Critical patent/JP3502978B2/en
Anticipated expiration legal-status Critical
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Description

DETAILED DESCRIPTION OF THE INVENTION [0001] The present invention relates to a video signal processing device.Place
ToIt is about. [0002] 2. Description of the Related Art FIG.
It is a block diagram of the conventional video signal processing device. Figure 1
1 is an RY color difference signal input terminal, and 2 is a BY color difference signal.
Signal input terminal, 3 is a luminance signal input terminal, 4 is an aperture complement
Positive signal input terminal, 5 is RY color difference signal output terminal, 6 is B
-Y color difference signal output terminal, 7 is a luminance signal output terminal, 8 is
Output terminals for the compensation signal, 9 to 12 are control signal input terminals
And 13 to 16 are gain control circuits. Next, the operation will be described. RY color difference
Input from signal input terminal 1 and BY color difference signal input terminal 2
Each of the obtained color difference signals is subjected to a gain control circuit to perform appropriate color reproduction.
In paths 13 and 14, gain is controlled by control signals D1 and D2.
RY color difference signal output terminal 5 and BY color difference signal
The signal is output from the signal output terminal 6. Also, the luminance signal input terminal 3
The input luminance signal is controlled by the gain control circuit 15.
The gain is controlled by the signal D3, and the luminance signal output terminal 7
Output more. Also, the aperture correction signal input terminal 4
The input aperture correction signal is supplied to the gain control circuit 16.
The gain is controlled by the control signal D4, and the aperture is controlled.
The signal is output from the correction signal output terminal 8. FIG. 2 shows another conventional video signal processing apparatus.
FIG. In FIG. 2, the same numbers as those in FIG.
Indicate the same or equivalent parts, and 17 and 18 indicate the number of operations.
Road. Next, the operation will be described. RY color difference
The RY color difference signal input from the signal input terminal 1 is
Input to the path 17 and the gain control circuit 14. BY color difference signal
The BY color difference signal input from the input terminal 2 is calculated by the arithmetic circuit 18
And input to the gain control circuit 13. Proper color reproduction
In gain control circuits 13 and 14, control signals D5 and D
6 controls the gain. Output of gain control circuit 13
Is input to the arithmetic circuit 17. The output of the gain control circuit 14 is
The signal is input to the arithmetic circuit 18. Two inputs for arithmetic circuits 17 and 18
RY color difference signal output terminal 5 and BY color
Output from the difference signal output terminal 6. The conventional video signal processing apparatus is constructed as described above.
Therefore, there were the following problems. Color difference
The signal can change the gain only in the RY axis and BY axis directions.
The problem is that correcting skin tone affects other colors
there were. In addition, the gain of the luminance signal and the aperture
It is extremely difficult to change the gain and frequency characteristics of the
There was a problem that it was difficult. In addition,
If the subject's makeup is insufficient without using a
Brightness is low due to camera signal processing such as gamma correction.
The problem is that the wrinkles of the human face are emphasized.
Was. FIG. 3 shows a signal of a conventional color video camera.
It is a block diagram of a processing signal processing device. In FIG.
21 is a focus lens, 22 is a solid-state image sensor, 23 is a CDS
Circuit, 24 is an automatic gain control circuit (AGC), 25 is an A / D
Converter, 26 is the signal processing circuit, 27 is the window generation time
Path, 28 is a data select circuit, 29 is a bandpass filter
(BPF), 30 is an integration circuit, 31 is a microcomputer
32, a focus lens drive circuit, 32, a motor,
34 is a luminance signal output terminal, 35 is an RY color difference signal output terminal,
36 is a BY color difference signal output terminal, and 37 is a data select terminal.
Path, 38 is an integration circuit, 39 is an iris, 40 is a motor, 41 is an
An iris drive circuit 42 is a driver for driving the solid-state imaging device.
An imaging generator (TG), 43 is a solid-state image sensor
Eve circuit, 44 is a zoom lens, 45 is a motor, 46 is a zoom
Lens drive circuit, 47 is data select circuit, 48 is product
It is a branch circuit. Next, the operation will be described. Solid-state image sensor
The child 22 is controlled by the zoom lens 44 and the focus lens 21.
The optical image thus formed is photoelectrically converted. TG42 is a solid-state camera
Outputs image sensor readout pulse and drives solid-state image sensor
The video signal is output from the solid-state imaging device 22 through the circuit 43.
Let The video signal is captured only by the CDS circuit 23.
After the gain is controlled by the AGC 24, the signal processing is performed.
Signal processing such as color separation and matrix by the
The luminance signal, the RY color difference signal, and the BY color difference signal are output.
Is forced. The data select circuit 37 is a window generating circuit
Select the video signal within the image frame determined by 27. De
The video signal selected by the data select circuit 37 is integrated.
The integration is performed by the circuit 38 every vertical scanning period. Iris Dora
The Eve circuit 41 controls the motor 40 based on the output signal of the integration circuit 38.
The opening of the iris 39 is controlled via the iris 39. The data select circuit 47 is a window generating circuit
Select the data in the image frame determined by 27. Day
The video signal selected by the data selection circuit 47 is integrated
In the path 48, integration is performed every field period. Integration circuit 48
The output signal level of the AGC 24 becomes constant depending on the output signal.
So that the gain of the AGC 24 is controlled. Microco
The computer 31 outputs a control signal based on the output signal of the integrating circuit 38.
Is output to the timing generator 42 for automatic electronic shutdown.
Control the speed. The data select circuit 28 is a window generating circuit
Select the video signal within the image frame determined by 27. De
The video signal selected by the data select circuit 28 is
Frequency components required for automatic focusing by the pass filter 29
And the product is integrated by the integration circuit 30 every one vertical scanning period.
Divided. The output signal of the integration circuit 30 is
Control the focus lens drive circuit 32 via the
You. The focus lens drive circuit 32 is a micro
Focuser via the motor 33 by the control signal of the
It controls the slense 21. Also, zoom lens drive time
The road 46 controls the motor 45 to change the magnification of the subject.
You. The conventional video signal processing apparatus is configured as described above.
So that the main subject (person) can be accurately
Metering cannot be performed, and the gradation of the low-luminance part of the video signal is lost.
There is a problem that the phenomenon of so-called "blackout" occurs
Was. Also, accurate metering of the main subject (person) during
So-called “white”, where the high-luminance part of the video signal is saturated.
There was a problem that the phenomenon of "flying" occurred.
In order to set the center of the video signal area as the focus area,
When main subject (person) is not in the center or focus
There was a problem that the camera would not be focused if it was out of the area.
Furthermore, the central part of the image area is mainly used as a photometry area.
Therefore, an appropriate iris system corresponding to the main subject (person)
Control, automatic gain control, automatic electronic shutter speed adjustment
There was a problem that it was not possible. FIG. 4 shows that one can photograph oneself by remote control.
Figure 5 is a block diagram of a color video camera.
FIG. 5 is a schematic diagram showing a state in which the operation is performed. In FIG. 4, FIG.
The parts denoted by the same reference numerals indicate the same or corresponding parts.
In FIG. 4, 49 is a remote controller, 50 is a receiving circuit, and FIG.
51 is a remote control
The shadow person, 52 is the video camera, 53 is the video camera 52
This is a tripod. Remote control 49 is "Recording signal", "Recording stop"
Sends a signal to control the recording function such as "Signal."
The above signal is transmitted to the color video camera 52 by the
There are methods that use sound waves, radio waves, light, etc.
Here, for example, the case of using light such as infrared light will be described.
I do. The receiving circuit 50 is provided with an infrared ray transmitted from the remote controller 49.
Receiving the light emission pattern of the signal, the microcomputer 31
Outputs the received signal to When “Recording signal” is received
Is a microcontrol signal for starting video signal recording.
Output from the computer 31 and the “recording stop signal” is received.
Control signal to stop video signal recording
Output from microcomputer 31. A conventional color video camera is described above.
Is configured so that the photographer can
When shooting and recording your body,
If you do not check it on a monitor such as a viewfinder,
There was a problem that it was not possible to determine whether or not it was inside.
In addition, the photographer shoots and records himself by remote control.
When the subject is out of the field of view of the video camera
There was a problem that recording was continued as it was. Even better
In addition, the photographer himself is photographed and recorded by remote control
When checking the image being taken by the monitor
The face is cut off from the frame,
There is a problem that an image to be placed cannot be obtained. By the way, conventionally, a predetermined landscape image is called.
The background image is determined in advance, and the color video
When combining subject images captured by
An image compositing device called a Romakey device is used.
You. With this chroma key device, the subject image to be fitted
Image in front of a specific hue background, and the video signal
Number is equal to this particular hue,
Area that is not equal to the hue of the
Generates keying signal to output only image signal
You. FIG. 6 shows, for example, “Image Electronics
Z8, Image Software "(August 30, 1980), Ko
Rona, pp. 116-119
FIG. 3 is a block diagram showing a configuration. In FIG. 6, reference numeral 54 denotes a lens.
55, an image sensor, 56 a process circuit, 57 an encoder
Circuit, 58 is a synchronous circuit, 59 is a NOT circuit, 60 and 61 are gates
Circuit, 62 is a synthesis circuit, 63 and 64 are buffer amplifiers, 65 and 66
Is a differential amplifier, 67 and 68 are slice circuits, 69 is a reference RY
A color difference signal input terminal, 70 is a reference BY color difference signal input terminal,
71 and 72 are variable resistors, 73 and 74 are level conversion circuits, 75 is AN
This is a D circuit. Next, the operation will be described. First, fit
Capture the subject image to be included in front of a specific hue background
And the light image of the subject forms on the image sensor 55 through the lens 54
Is converted to an electrical signal according to the brightness of the light image and output.
It is. The electric signal is a Y signal and an R-Y color in the process circuit 56.
This is processed into a difference signal and a BY color difference signal. These signals
Is converted into a video image signal by an encoder circuit 57. The RY color difference signal and the BY color difference signal are
Input to buffer amplifiers 63 and 64 for impedance conversion
And the differential level of the background color difference signal is
And the level is compared to the
You. Slice circuits 67 and 68 are set by variable resistors 71 and 72.
The input signal is sliced at the specified slice level.
The setting of the specific hue of the background is performed by the reference RY color difference signal input terminal.
69, which is performed at the reference BY color difference signal input terminal 70.
Usually, a person is selected as the subject.
Is set as the complementary color of the flesh color. Imaged
If each color difference signal is equal to this particular hue,
The outputs of the chair circuits 67 and 68 hardly change, and this particular
If different from the hue, the output of slice circuits 67 and 68 is large
Change. According to the output of the slice circuits 67 and 68, the level
Either "0" or "1" in binary conversion circuits 73 and 74
Logic level output is generated. Figure 7 shows the dynamics so far.
FIG. 7 is a diagram showing the operation, and
Amplifier 65, slice circuit 67, and level conversion circuit
73 shows an example of the output of 73. And to the AND circuit 75
The logical product of the outputs of the two level conversion circuits 73 and 74 is obtained,
A keying signal is generated. Synchronized with the video signal, the background
The image signal is output to the gate circuit 61. Gate circuit 60
Then, the keying signal from the AND circuit 75
The range of the subject is extracted from the video signal from the
And output to the synthesis circuit 62. On the other hand, in the gate circuit 61
Is obtained by inverting the keying signal from the NOT circuit 59.
Of the background from the background image signal from the synchronization circuit 58
And output to the combining circuit 62. In the synthesis circuit 62
The output of the gate circuit 60 and the gate circuit 61 are synthesized, and the synthesized video
Is output. The conventional image synthesizing apparatus is configured as described above.
Therefore, there were the following problems. Subject and background
And a hue that is significantly different from the color of the subject
It was necessary to choose a color as the background color. For example, a person
The background color is generally the complement of the skin color when it is made into a photocopy
Blue is chosen and a blue background called the blue background is required.
I needed it. The color of the subject in front of the background is
You must choose one that has a huge difference in hue from the scenery.
If you choose blue for the scenery, purple or blue with a lot of blue component
Colors such as green will be difficult to separate from the background color.
It can not be used as a color, causing restrictions on the subject's clothes, etc.
There was a problem. Also, if the color temperature of the illumination changes, for example,
For example, if you choose a solid curtain for the background,
Changes in the brightness of the background color
Causes unstable separation between the background and the subject placed in front of it
Was a problem. Also, always refer to the background
It is not always possible to prepare a blue background. For example, general
At home, you might consider shooting against a non-blue wall as a background
Can be In this case, the wall color must be set as the background color.
If you change the background color,
And slice levels must be adjusted and
Background color variation or camera characteristic variation
On the other hand, there has been a problem that individual adjustment is required. In general households, uniform brightness and hue
Backgrounds are difficult to prepare, for example, walls, curtains
When setting the background color with the background etc. as dirt or wrinkles
Difficult to adjust because the brightness and hue vary due to factors such as
And the separation between the background and the subject placed in front of it
There was a problem of instability. Furthermore, an image synthesizing device
Is generally a camera that creates the keying signal and a background image
Camera or videotape recorder (VT
R) is required and these must be synchronized
There was a problem that the configuration became bulky. One object of the present invention is to provide a simple circuit configuration.
Video signal processing that can detect only specific color areas (skin color areas)
It is to provide a device. Another object of the present invention is to
Focus area setting, iris control, automatic
Gain control, automatic shutter speed adjustment, etc.
With a simple circuit configuration, it can be used for setting
Or a video signal processing device that can detect only the human face area.
To provide. Yet another object of the present invention is to affect other colors.
Color correction only for skin color area or face area without giving
To provide a video signal processing device capable of performing the following. Departure
Yet another purpose of light is to focus only on skin tones or facial areas.
The gain of the luminance signal, the gain of the aperture correction signal,
An image that can change the frequency characteristics of the
An object of the present invention is to provide an image signal processing device. Still another of the present invention
The purpose of this is when shooting and recording
Recording while the photographer is out of the camera's angle of view.
The main subject is located in the center.
To provide a color video camera that provides good images
It is in. Still another object of the present invention is to provide a simple circuit configuration.
To accurately separate the subject area and the background area from the video signal.
An object of the present invention is to provide a detachable color video camera. [0025] According to the first aspect of the present invention, there is provided an image display apparatus comprising:
The image signal processing device includes a focus lens for focusing a subject.
Focus area for focusing the subject.
Focus area setting means to determine the video signal obtained
Focus on the focus area
Focus control means for controlling the slense, and the obtained video signal
Skin color detecting means for detecting a skin color area of a subject in the
The focus area setting means is controlled by the skin color detecting means.
The detected skin color area as the focus area
It is configured. In the video signal processing apparatus according to the first aspect of the present invention,
Focus on the skin color area detected by the skin color detection means
Set as an area. The video signal processing apparatus according to the second aspect of the present invention.
Is the photometry that sets the photometry area for measuring the amount of incident light.
Area setting means, in the photometric area of the obtained video signal
Adjust the amount of incident light so that the level remains constant.
And the skin color area of the subject in the obtained video signal
And a photometric area setting means,
The skin color area detected by the detection means is set as the photometry area
It is configured as follows. A video signal processing apparatus according to a third aspect of the present invention.
Is for controlling the level of the obtained video signal to be constant.
Photometric area setting means for setting the photometric area, and the obtained image
The gain of the video signal is controlled so that the signal level remains constant.
Automatic gain control circuit and the subject in the obtained video signal
A flesh color detecting means for detecting a flesh color region of the body,
The area setting means is a skin color detected by the skin color detecting means.
The area is configured to be a photometric area. A video signal processing apparatus according to a fourth aspect of the present invention.
Is the photometry that sets the photometry area for measuring the amount of incident light.
Area setting means and a constant level of the obtained video signal.
Automatic shutter speed can be changed as
Electronic shutter speed adjusting means, in the obtained video signal
Skin color detecting means for detecting a skin color area of the subject
The photometric area setting means is detected by the flesh color detecting means.
It is configured so that the flesh-tone area obtained is a photometric area. Video signal processing according to the second, third and fourth aspects of the present invention.
In the device, the skin color area detected by the skin color detecting means is
It is set as a photometry area. A video signal processing apparatus according to a fifth aspect of the present invention.
Is a focus lens that focuses the subject,
Focus to set focus area for focusing
Area setting means and focus
Control the focus lens to focus on the rear
Focusing control means and the subject's skin in the obtained video signal
A flesh color detecting means for detecting a color area, and a flesh color detecting means.
Variable to change the range of the skin color area detected by
Means, and the focus area setting means comprises:
The skin color area detected by the output means is
A range increased by a predetermined value is set as a focus area
It is configured as follows. In the video signal processing apparatus according to the fifth aspect of the present invention,
Using the skin color area detected by the skin color detection means as a variable means
Therefore, the range increased by a predetermined value is the focus area.
Is set as A video signal processing apparatus according to the invention of claim 6
Is the photometry that sets the photometry area for measuring the amount of incident light.
Area setting means, in the photometric area of the obtained video signal
Adjust the amount of incident light so that the level remains constant.
And the skin color area of the subject in the obtained video signal
Skin color detection means, and the skin detected by the skin color detection means
Variable means for changing the range of the color area
The photometric area setting means is detected by the flesh color detecting means.
Reduced the flesh color area by a predetermined value using variable means.
Is configured to be a photometric area. A video signal processing apparatus according to a seventh aspect of the present invention.
Is for controlling the level of the obtained video signal to be constant.
Photometric area setting means for setting the photometric area, and the obtained image
The gain of the video signal is controlled so that the signal level remains constant.
Automatic gain control circuit and the subject in the obtained video signal
Skin color detecting means for detecting a skin color area of a body, and skin color detecting means
Can change the range of the skin color area detected by
And a photometric area setting means, wherein the photometric area setting means
Means for detecting the flesh color area detected by the means
Configured so that the area reduced by the fixed value is the photometric area
Have been. A video signal processing apparatus according to the invention of claim 8.
Is the photometry that sets the photometry area for measuring the amount of incident light.
Area setting means and a constant level of the obtained video signal.
Automatic shutter speed can be changed as
Electronic shutter speed adjusting means, in the obtained video signal
Skin color detection means for detecting the skin color area of the subject
Changing the range of the skin color area detected by the outputting means
And a variable means capable of performing
The skin color area detected by the color detecting means is
In this way, the area reduced by a predetermined value
Is configured. Video signal processing according to the invention of claims 6, 7 and 8
In the device, the skin color area detected by the skin color detecting means is
The range reduced by the predetermined value by the variable means
Is set as an area. A video signal processing apparatus according to a ninth aspect of the present invention.
Is a zoom lens that changes the magnification of the subject,
Focus lens to focus the subject and focus the subject
Focus area setting to set the focus area for
Setting means and the obtained video signal in the focus area.
Focusing system that controls the focus lens to focus
And the skin color area of the subject in the obtained video signal.
Outgoing skin color detecting means, and
Variable means that can change the range of the flesh color area
The focus area setting means is provided by the skin color detecting means.
Of the flesh color area detected by
The area that has been increased by the
It can be changed according to the distance to the object and the magnification.
Has been established. According to a ninth aspect of the present invention, there is provided a video signal processing apparatus comprising:
The skin color area detected by the color detecting means is
The range increased by a predetermined value is the focus area.
And set this predetermined value to the distance to the subject and the magnification.
It changes with. A video signal processing apparatus according to a tenth aspect of the present invention.
Is a zoom lens that changes the magnification of the subject,
Focus lens for focusing and measuring the amount of incident light
Area setting means for setting the area for light measurement for
Level in the photometry area of the video signal
In addition, an iris for adjusting the amount of incident light and the obtained video signal
A skin color detecting means for detecting a skin color area of a medium subject, and a skin color
The range of the skin color area detected by the detection means can be changed.
And a variable means capable of:
Using the skin color area detected by the skin color detection means as a variable means
Therefore, the range reduced by a predetermined value is defined as the photometric area,
Change the fixed value according to the distance to the subject and the magnification
Is configured. The video signal processing apparatus according to the eleventh aspect of the present invention.
Is a zoom lens that changes the magnification of the subject,
A focus lens that focuses the
Metering to set the metering area to control the level to a constant
Area setting means and a constant level of the obtained video signal.
Automatic gain control circuit that controls the gain of the video signal
And the skin color area of the subject in the obtained video signal is detected.
Skin color detection means, and the skin color detected by the skin color detection means
Variable means capable of changing the range of the area,
The photometric area setting means is detected by the flesh color detecting means.
A range in which the flesh color area is reduced by a predetermined value by the variable means.
The surrounding area is the photometry area, and the specified value is the distance to the subject and the magnification.
It is configured to change according to the rate. A video signal processing apparatus according to the twelfth aspect of the present invention.
Is a zoom lens that changes the magnification of the subject,
Focus lens for focusing and measuring the amount of incident light
Area setting means for setting the area for light measurement for
Shutter speed so that the level of the
Automatic electronic shutter speed control that can change the mode
And the skin color area of the subject in the obtained video signal.
Outgoing skin color detecting means, and
Variable means that can change the range of the flesh color area
The photometric area setting means is detected by the flesh color detecting means.
The specified skin color area by a predetermined value by the variable means
The measured area is defined as the photometry area, and the predetermined value is defined as the distance to the subject.
It is configured to change according to the magnification. Video signal processing according to the invention of claims 10, 11 and 12
The device enables the skin color area detected by the skin color detection means.
The area that has been reduced by a predetermined value by means of
As the distance to the subject and the magnification.
Varies with rate. A video signal processing apparatus according to the thirteenth aspect.
Is a zoom lens that changes the magnification of the subject,
Focus lens to focus the subject and focus the subject
Focus area setting to set the focus area for
Setting means and the obtained video signal in the focus area.
Focusing system that controls the focus lens to focus
And the skin color area of the subject in the obtained video signal.
Outgoing skin color detecting means, and
Variable means that can change the range of the flesh color area
The focus area setting means is provided by the skin color detecting means.
To the subject by the variable means
Range increased by a specified value relative to the distance
Is the focus area, and the distance to the subject is predetermined.
When the distance is shorter than the set distance and when the magnification is
If the focus area is larger than the set value, the focus area is
It is configured to switch to an area smaller by a predetermined value than
Have been. According to a thirteenth aspect of the present invention, the video signal processing apparatus
The skin color area detected by the color detecting means is
Is a predetermined value that is proportional to the distance to the subject and the magnification.
Set the focus area as the focus area,
If the distance to the subject is shorter than the predetermined distance
And when the magnification is larger than a predetermined value
Make the focus area smaller than the skin color area by a predetermined value.
Switch to the zone. A video signal processing apparatus according to the fourteenth aspect.
Is a zoom lens that changes the magnification of the subject,
Focus lens for focusing and measuring the amount of incident light
Area setting means for setting the area for light measurement for
Level in the photometry area of the video signal
In addition, an iris for adjusting the amount of incident light and the obtained video signal
A skin color detecting means for detecting a skin color area of a medium subject, and a skin color
The range of the skin color area detected by the detection means can be changed.
And a variable means capable of:
Using the skin color area detected by the skin color detection means as a variable means
Therefore, the distance to the subject and the predetermined value in proportion to the magnification
The distance to the subject is defined as the photometric area
Is longer than the predetermined distance, and the magnification
Is smaller than a predetermined value, the focus area
Switch to an area larger than the skin color area by a predetermined value
Is configured. A video signal processing apparatus according to claim 15
Is a zoom lens that changes the magnification of the subject,
A focus lens that focuses the
Metering to set the metering area to control the level to a constant
Area setting means and a constant level of the obtained video signal.
Automatic gain control circuit that controls the gain of the video signal
And the skin color area of the subject in the obtained video signal is detected.
Skin color detection means, and the skin color detected by the skin color detection means
Variable means capable of changing the range of the area,
The photometric area setting means is detected by the flesh color detecting means.
Distance to subject and magnification by variable means for skin color area
The area reduced by a predetermined value in proportion to the
And the distance to the subject is longer than a predetermined distance
And when the magnification is smaller than a predetermined value.
The focus area is larger than the skin color area by a predetermined value.
It is configured to switch to the area. A video signal processing apparatus according to the invention of claim 16
Is a zoom lens that changes the magnification of the subject,
Focus lens for focusing and measuring the amount of incident light
Area setting means for setting the area for light measurement for
Shutter speed so that the level of the
Automatic electronic shutter speed control that can change the mode
And the skin color area of the subject in the obtained video signal.
Outgoing skin color detecting means, and
Variable means that can change the range of the flesh color area
The focus area setting means is provided by the skin color detecting means.
To the subject by the variable means
Range reduced by a predetermined value relative to the distance
The surrounding area is a photometric area, and the distance to the subject is predetermined.
When the distance is longer than the distance and the magnification is predetermined
When the value is smaller than the value, the photometry area is shifted by a predetermined value from the skin color area.
It is configured to switch to a larger area. Video signal processing according to the invention of claims 14, 15 and 16
The device enables the skin color area detected by the skin color detection means.
By changing the distance to the subject and the magnification,
The area reduced by the specified value is set as the photometry area.
And the distance to the subject is longer than a predetermined distance
And when the magnification is smaller than a predetermined value.
The photometric area to an area that is larger than the skin color area by a predetermined value.
Replace it. [0049] [0050] [0051] [0052] [0053] [0054] [0055] [0056] [0057] [0058] [0059] [0060] [0061] [0062] [0063] [0064] [0065] [0066] [0067] [0068] [0069] [0070] [0071] [0072] [0073] [0074] Claims17Video signal processing apparatus according to the invention
Changes the magnification of the subject with a zoom lens,
An imaging device that focuses and shoots an object with a focusing lens
In the video signal processing device, the subject in the video signal is
Focusing that controls the focus lens to automatically focus
Control means for determining a human face from the skin color area;
Move the detection area for automatic focusing according to the determination result.
It is configured to be. Claims17The video signal processing device of the invention of
Predetermined by the distance to the subject and the zoom position
If the size of the skin color area is within the size range
In this case, this skin color area is detected as a human face,
Move the detection area of the auto focus control according to the output result.
Move. Claims18Video signal processing apparatus according to the invention
Changes the magnification of the subject with a zoom lens,
An imaging device that focuses and shoots an object with a focusing lens
Video signal processing device
Iris to adjust the amount of incident light so that
Iris control means for controlling the opening of the skin
The face of the person is determined from the area, and the air
Is configured to change the photometric area for
ing. Claims18The video signal processing device of the invention of
Predetermined by the distance to the subject and the zoom position
If the size of the skin color area is within the size range
In this case, this skin color area is detected as a human face,
Move the metering area for iris control according to the result
Let it. Claims19Video signal processing apparatus according to the invention
Changes the magnification of the subject with a zoom lens,
An imaging device that focuses and shoots an object with a focusing lens
The gain of the video signal is constant in the video signal processing unit
Automatic gain control means to reduce the human face
And for automatic gain control according to the result of this determination.
It is configured to change the photometry area. Claims19The video signal processing device of the invention of
Predetermined by the distance to the subject and the zoom position
If the size of the skin color area is within the size range
In this case, this skin color area is detected as a human face,
Move the metering area for automatic gain control according to the result
Let it. Claims20Video signal processing apparatus according to the invention
Changes the magnification of the subject with a zoom lens,
An imaging device that focuses and shoots an object with a focusing lens
Video signal processing device
Automatic electronic shutter that changes the shutter speed to
Equipped with a tta speed adjustment means to detect human faces from skin tone areas
Discriminate, and according to the discrimination result, automatic electronic shutter speed
Is configured to change the photometry area of the
I have. Claims20The video signal processing device of the invention of
Predetermined by the distance to the subject and the zoom position
If the size of the skin color area is within the size range
In this case, this skin color area is detected as a human face,
Automatic electronic shutter speed adjustment according to the output result
Change the photometry area. Claims21Video signal processing apparatus according to the invention
Changes the magnification of the subject with a zoom lens,
An imaging device that focuses and shoots an object with a focusing lens
In the video signal processing device, the subject in the video signal is
Focusing that controls the focus lens to automatically focus
Control means for determining a human face from the skin color area;
The judgment result is output to the low-pass filter, and the low-pass filter
Auto-range in the output signal
It is configured to be a detection area of the waste control. Claims21The video signal processing device of the invention of
Predetermined by the distance to the subject and the zoom position
If the size of the skin color area is within the size range
In this case, this skin color area is detected as a human face,
The result is passed through a low-pass filter,
Autofocus in the range smaller than the predetermined threshold in the force signal
This is the control detection area. Claims22Video signal processing apparatus according to the invention
Changes the magnification of the subject with a zoom lens,
An imaging device that focuses and shoots an object with a focusing lens
Video signal processing device
To adjust the amount of light incident on the solid-state image sensor.
Iris and an iris control hand that automatically controls the iris
A step is provided to determine the human face from the skin color area,
The result is output to the low-pass filter, and the low-pass filter is output
The area of the signal that is larger than the predetermined threshold
A. Claims22The video signal processing device of the invention of
Predetermined by the distance to the subject and the zoom position
If the size of the skin color area is within the size range
In this case, this skin color area is detected as a human face,
The result is passed through a low-pass filter,
The range of the force signal that is larger than the predetermined threshold
Rear. Claims23Video signal processing apparatus according to the invention
Changes the magnification of the subject with a zoom lens,
An imaging device that focuses and shoots an object with a focusing lens
The gain of the video signal is constant in the video signal processing unit
Automatic gain control means to reduce the human face
And outputs the result of the determination to a low-pass filter.
Range greater than a predetermined threshold in the low-pass filter output signal
Is configured as a photometric area for automatic gain control.
You. Claims23The video signal processing device of the invention of
Predetermined by the distance to the subject and the zoom position
If the size of the skin color area is within the size range
In this case, this skin color area is detected as a human face,
The result is passed through a low-pass filter,
Automatic gain control measures the range of the force signal
Light area. Claims24Video signal processing apparatus according to the invention
Changes the magnification of the subject with a zoom lens,
An imaging device that focuses and shoots an object with a focusing lens
Video signal processing device
Automatic electronic shutter that changes the shutter speed to
Equipped with a tta speed adjustment means to detect human faces from skin tone areas
And outputs the result of this determination to the low-pass filter.
-The range larger than the predetermined threshold in the output signal of the
Set the metering area for automatic electronic shutter speed adjustment
It is configured as follows. Claims24The video signal processing device of the invention of
Predetermined by the distance to the subject and the zoom position
If the size of the skin color area is within the size range
In this case, this skin color area is detected as a human face,
The result is passed through a low-pass filter,
Automatic electronic shutter for a range greater than a predetermined threshold in the force signal
It is a photometry area for speed adjustment. Claims25Video signal processing apparatus according to the invention
Changes the magnification of the subject with a zoom lens,
An imaging device that focuses and shoots an object with a focusing lens
In the video signal processing device, the subject in the video signal is
Focusing that controls the focus lens to automatically focus
Control means for determining a human face from the skin color area;
Auto focus the range where a certain value is added to the judgment result
It is configured to be a control detection area. Claims25The video signal processing device of the invention of
Predetermined by the distance to the subject and the zoom position
If the size of the skin color area is within the size range
In this case, this skin color area is detected as a human face,
Autofocus system for the range where a certain value is added to the output result
It is a detection area for control. Claims26Video signal processing apparatus according to the invention
Changes the magnification of the subject with a zoom lens,
An imaging device that focuses and shoots an object with a focusing lens
Video signal processing device
Iris to adjust the amount of incident light so that
Iris control means for automatically controlling the color
From a human face, and subtract a certain value from this result
Is set to be the photometric area of the iris.
ing. Claims26The video signal processing device of the invention of
Predetermined by the distance to the subject and the zoom position
If the size of the skin color area is within the size range
In this case, this skin color area is detected as a human face,
The range obtained by subtracting a certain value from the output
Photometric area for Claims27Video signal processing apparatus according to the invention
Changes the magnification of the subject with a zoom lens,
An imaging device that focuses and shoots an object with a focusing lens
The gain of the video signal is constant in the video signal processing unit
Automatic gain control means to reduce the human face
Is determined, and the range obtained by subtracting a certain value from the determination result is
It is configured to be a photometry area for automatic gain control.
You. Claims27The video signal processing device of the invention of
Predetermined by the distance to the subject and the zoom position
If the size of the skin color area is within the size range
In this case, this skin color area is detected as a human face,
The range obtained by subtracting a certain value from the output
Photometric area for Claims28Video signal processing apparatus according to the invention
Changes the magnification of the subject with a zoom lens,
An imaging device that focuses and shoots an object with a focusing lens
Video signal processing device
Automatic electronic shutter that changes the shutter speed to
Equipped with a tta speed adjustment means to detect human faces from skin tone areas
Discrimination, and the range obtained by subtracting a certain value from
It will be the photometry area of the dynamic electronic shutter speed adjustment means
It is configured as follows. Claims28The video signal processing device of the invention of
Predetermined by the distance to the subject and the zoom position
If the size of the skin color area is within the size range
In this case, this skin color area is detected as a human face,
Automatic electronic shutter for the range obtained by subtracting a certain value from the output result
A photometric area for speed adjustment. [0099] [0100] [0101] [0102] [0103] [0104] [0105] [0106] [0107] [0108] [0109] [0110] [0111] BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, the present invention will be described with reference to its embodiments.
Details will be described based on the drawings shown. (Embodiment 1) FIG. 8 shows Embodiment 1 of the present invention.
FIG. 5 is a diagram showing an example of skin color area detection in the present embodiment. As shown in FIG.
Thus, the RY and BY axes of the color difference signal of the video signal
Closed area on the two-dimensional plane
) Is detected as a skin color area. In this way,
The emitted skin color area changes according to the level of the luminance signal.
You. In other words, when the level of the luminance signal increases,
As shown in (a) → (b) → (c),
By changing the size, more accurate skin color area
Area can be detected. (Embodiment 2) FIG. 10 shows a second embodiment of the present invention.
2 shows the configuration of a skin color detection circuit 101 for detecting a skin color area in
FIG. The skin color detection circuit 101 is a digital
Luminance signal, BY color difference signal and RY color difference signal
And a circuit for detecting a flesh color area from the video signal. skin
The color detection circuit 101 has an RY color difference signal input terminal 102 and a B-
Y color difference signal input terminal 103, luminance signal input terminal 104,
And a comparator 106 and a skin color detection signal output terminal 107.
Has been established. Hue and color are shown in Fig. 11
It is limited by the signal saturation, and is the region represented by Equations 1 and 2.
You. Further, the skin color area represented by Expressions 1 and 2 is expressed by Expressions 3 and 2.
4, it changes according to the level of the luminance signal,
As the level of the luminance signal increases, the skin color area
2, the saturation of the color signal increases as shown in FIGS.
You. As described above, the skin color area is changed according to the level of the luminance signal.
By changing from Fig. 12 to Fig. 13 to Fig. 14,
It can be detected accurately. (Equation 1) (B−Y) · tan (θ + β) ≦ (R−Y) ≦ (B−
Y) · tan (θ-β) (Equation 2) r−s ≦ {(RY)Two+ (BY)Two1/2≤r + s (Equation 3) r = K1 · Y where K1 ≧ 0, K1 is a constant (Equation 4) s = K2 · Y where K2 ≧ 0, K2 is a constant Next, the operation of the skin color detecting circuit 101 shown in FIG.
Will be described. RY color difference signal input terminal 102 to R
-The Y color difference signal is input from the BY color difference signal input terminal 103 to the B-
Input a Y color difference signal. These color difference signals are
And input to the memory 105. As shown in Fig. 15,
Such a table has been written. This table is specific
Numbers are written only in the area, and 0
Data has been written. This number indicates the color signal saturation.
Represent. Also, a luminance signal is input to the luminance signal input terminal 104.
You. The comparator 106 determines whether the value of the output signal of the memory 105 is
Limitation of luminance signal level input from signal input terminal 104
Is detected within the specified range. For example, in the table of FIG.
5 is within the range of 1/2 to 1/8 of the luminance signal level.
If it is determined that there is a skin color at some point, a luminance signal input terminal
If the luminance signal level input from 104 is 14,
The value of the output signal of the memory 105 in the box is 7 to 1, and FIG.
RY color difference signal and BY color satisfying the range within the frame shown in FIG.
When the difference signal is input, the RY color difference signal and the B-
The Y color difference signal is a signal in the flesh color area,
gh ”. The output signal of the comparator 106 is a flesh color detection signal.
Is output to the skin color detection signal output terminal 107. above
By the configuration, the skin color region satisfying Expression 1, Expression 2, Expression 3, and Expression 4
Can be detected. Such a skin color detection circuit 101
Therefore, when photographing a person as shown in FIG.
The skin color detection signal output from the output terminal 107 is shown in FIG.
The areas (R1, R2, R3) indicated by diagonal lines shown in FIG.
Signal waveform in horizontal scanning direction at position CD shown in 17 (a)
Is as shown in FIG. 17 (b). Note that the color difference signal is I-axis,
Q-axis signal processing
It goes without saying that it can be realized. (Embodiment 3) FIG. 18 shows Embodiment 3 of the present invention.
2 shows the configuration of a skin color detection circuit 201 for detecting a skin color area in
FIG. 18 is a block diagram of FIG.
The attached parts indicate the same or corresponding parts. Fig. 18
108 is a low-pass filter (LPF), 109 is a
It is a chair circuit. The slice circuit 109 is the output of the LPF 108
Circuit for slicing a signal by the value of a predetermined constant k
FIG. 20 shows a specific configuration example. Figure 20
202 is an input for inputting the signal output from the LPF 108.
Input terminal, 203 is an adder, 204 is a switch, 205 is a comparator.
Input to input the value of constant k to be sliced
A terminal, 207 is a decoder, and 208 is an output terminal. next,
The operation will be described. RY color difference signal, BY color difference signal
Signal and luminance signal are input to each input terminal 102,013,104
After that, the operation up to the comparator 106 is the same as in the second embodiment.
Therefore, the description is omitted. Output of comparator 106
Through the LPF 108 to extract only low-frequency components. This wave
The shape is as shown in Fig. 19 (a). This signal is sent to the slice circuit 10
Slice with 9. That is, everything below the set default value is
Set the default value and set the whole value so that the default value of this signal is 0
Level down. LP input from input terminal 202
The output signal of F108 is subtracted by adder 203 by the value of constant k.
Will be drawn. Comparator 205 outputs the output signal of LPF108.
Signal and constant k, and this output signal is larger than constant k.
Switch 204 selects the output signal of adder 203 when
Output the selection signal to the switch 204 as described above. Switch 20
4 selects “Low” when this output signal is smaller than the constant k.
Select. The decoder 207 passes the signal as it is. Yo
Output from the decoder 207 via the output terminal 208.
The signal has a signal waveform as shown in FIG. 19 (b). And this
The signal is output to the skin color detection signal output terminal 107 as a skin color detection signal.
Is output. (Embodiment 4) FIG. 21 shows Embodiment 4 of the present invention.
The configuration of the skin color detection circuit 301 for detecting the skin color area in
FIG. 21 is the same block number as FIG.
The attached parts indicate the same or corresponding parts. Fig. 21
And 110 is a constant comparison circuit. Next, the operation is explained.
I will tell. RY color difference signal, BY color difference signal, and luminance signal
After input to each input terminal 102,103,104 respectively, compare
Since the operation up to the device 106 is the same as that of the second embodiment,
The description is omitted. Output of comparator 106 to LPF 108
To extract only low frequency components. This waveform is shown in FIG.
Become like Then, the constant comparison circuit 110 responds to the output.
The signal is divided into several levels, and this is
The signal is output to the skin color detection signal output terminal 107 as a signal. This skin
The color detection signal has a signal waveform shown in FIG. In the second, third, and fourth embodiments, the skin
The case where the color area is detected has been described.
By rewriting the table in
It can also be used to detect areas. (Embodiment 5) When a flesh color area is detected
Embodiment 5 for controlling the gain of the color difference signal will be described.
You. FIG. 23 is a block diagram showing a configuration of the fifth embodiment.
23, the same reference numerals as in FIG. 10 denote the same parts.
Or indicate a substantial part. Also, in FIG.
Control circuit, 113 is an RY color difference signal output terminal, 114 is B
-Y color difference signal output terminal. Next, the operation will be described. RY color difference
From the signal input terminal 102 and the BY color difference signal input terminal 103
The input color difference signal is supplied to a skin color detection circuit 101 and a gain control circuit.
Input to roads 111 and 112. The skin color detection circuit 101 receives a luminance signal.
To the luminance signal input from the input terminal 104 and the above color difference signal.
According to the second embodiment, a flesh color area is detected. Flesh color
When the video signal is within the flesh color area, the detection circuit 101
A control signal is output to the control circuits 111 and 112. RY color difference signal
After the gain is controlled by the gain control circuit 111, RY
It is output from the color difference signal output terminal 113. BY color difference signal
Is the BY color after the gain is controlled by the gain control circuit 112.
It is output from the difference signal output terminal 114. Specifically, skin color
When an area is detected, the gain of the RY color difference signal is increased,
Decrease the gain of the BY color difference signal. FIG. 24a shows the skin color detection times.
The flesh color area detected by the road 101, and the color
By controlling the gain of the difference signal, the region shown in FIG.
Convert to For this reason, the color of the skin color area becomes reddish and
It can be corrected to a skin color close to the memory color between the two. (Embodiment 6) When a flesh color area is detected
Embodiment 6 for controlling the gain of a luminance signal will be described.
You. FIG. 25 is a block diagram showing a configuration of the sixth embodiment.
25, the parts denoted by the same reference numerals as those in FIG. 10 are the same.
Or indicate a substantial part. In Fig. 25, 115 is a gain system.
A control circuit 116 is a luminance signal output terminal. Next,
explain about. RY color difference signal input terminal 102 and B-
The color difference signal input from the Y color difference signal input terminal 103 is
Input to the detection circuit 101. Input from luminance signal input terminal 104
The input luminance signal is supplied to a skin color detection circuit 101 and a gain control circuit.
Enter 115. The flesh-tone detection circuit 101
To detect a flesh color area according to the second embodiment.
You. The skin color detection circuit 101 determines that the video signal is within the skin color area.
Output a control signal to the gain control circuit 115,
The path 115 increases the gain of the luminance signal by the control signal, and
A luminance signal is output from the signal output terminal 116. For this reason,
The brightness of the skin color area is increased to compensate for the skin color close to human memory color.
I can correct it. (Embodiment 7) When a flesh color area is detected
Embodiment 7 for Controlling Gain of Aperture Correction Signal
Will be described. FIG. 26 is a block diagram showing the configuration of the seventh embodiment.
26. In FIG. 26, portions denoted by the same reference numerals as those in FIG.
Minutes indicate the same or corresponding parts. In FIG. 26, 11
7 is an aperture correction signal input terminal, and 118 is a gain control circuit.
Reference numeral 119 denotes an aperture correction signal output terminal. Next, the operation will be described. RY color difference
From the signal input terminal 102 and the BY color difference signal input terminal 103
Input color difference signal and luminance signal input terminal 104
The luminance signal is input to the skin color detection circuit 101. Aperch
Aperture correction signal input terminal 117
The signal is input to a gain control circuit 118. Skin color detection circuit 101
Is based on the luminance signal and the color difference signal according to the second embodiment.
Detect skin tone area. The skin color detection circuit 101 detects
When in the color gamut, a control signal is output to the gain control circuit 118.
The gain control circuit 118 controls the aperture by the control signal.
Reduce the gain of the correction signal, and output the aperture correction signal
9 outputs the aperture correction signal. Because of this,
Wrinkles can be suppressed. (Embodiment 8) When a flesh color area is detected
Embodiment for controlling frequency characteristics of aperture correction signal
8 will be described. FIG. 27 shows the configuration of the eighth embodiment.
FIG. 27 is a block diagram.
The indicated portions indicate the same or corresponding portions. Also in Figure 27
120 creates an aperture signal and changes the frequency response
Aperture correction circuit. Next, the operation will be described. RY color difference
From the signal input terminal 102 and the BY color difference signal input terminal 103
Input color difference signal and luminance signal input terminal 104
The luminance signal is input to the skin color detection circuit 101. Skin color detection
The circuit 101 uses a luminance signal and a color difference signal to generate a signal according to the second embodiment.
To detect a flesh color area. The luminance signal is
Input to the aperture correction circuit 120 and the aperture correction signal is
Created. The skin color detection circuit 101 detects that the video signal is within the skin color area.
Output control signal to aperture correction circuit 120
The aperture correction circuit 120 is created by the control signal.
Change the frequency characteristics of the aperture correction signal
An aperture correction signal is output from the aperture correction signal output terminal 119.
Power. For this reason, natural skin wrinkles can be obtained. FIG. 28 shows the aperture correction circuit shown in FIG.
120 is a block diagram showing the internal configuration of the embodiment 120. Figure 28
And 121, 122 are 1 line memory, 123, 124, 125 are
Bandpass filters (BP) with different frequency characteristics
F), 126, 131 are adders, 127, 128, 129, 130, 132 are
It is a multiplier. Next, the operation will be described. Luminance signal input
The luminance signal input from the input terminal 104 is a one-line memory 121
And is output to each of the BPFs 123, 124 and 125. frequency
BPFs with different characteristics have different horizontal frequency characteristics
Create an aperture correction signal for the direction. Each BPF123, 1
The signals passing through 24 and 125 are sent to multipliers 127, 128 and 129 respectively.
Thus, the constants of C1, C2, and C3 are respectively multiplied. Yo
The horizontal aperture is determined by the values of C1, C2 and C3.
The gain of the correction signal is changed, and each
Frequency characteristics differ due to the addition of multiplier output signals.
Aperture correction signal can be generated. Also, 1
Line memories 121, 122, adder 126, multiplier 127, addition
A vertical aperture correction signal is generated by the detector 131.
You. As described above, a plurality of Bs having different frequency characteristics
According to the aperture correction circuit having the PF, the control signal C
1, C2 and C3 change the frequency characteristics of aperture correction
Can be obtained. The flesh tone detection circuit 101
When in the region, the control signals C1, C2, C3, C4,
C5 is output. Aperture correction signal by control signal
Frequency characteristic of the aperture correction output terminal 11
9 outputs an aperture correction signal. (Embodiment 9) Embodiment 9 is different from Embodiment 5 described above.
And detects a flesh color area according to the third embodiment.
Embodiment 9 is such an example. In this example,
The gain control circuits 111 and 112 match the waveform of the flesh color detection signal.
The gain of the RY color difference signal and the BY color difference signal
So each color difference signal gradually near the border between skin color and other colors
There is no unnatural change due to the change of the gain. (Embodiment 10) Embodiment 10 is similar to Embodiment 5 described above.
And detects a flesh-colored area according to the fourth embodiment.
Embodiment 10 is such an example. In this example, too,
The gain control circuits 111 and 112 match the waveform of the flesh color detection signal.
The gain of the RY color difference signal and the BY color difference signal
So each color difference signal gradually near the border between skin color and other colors
There is no unnatural change due to the change of the gain. (Eleventh Embodiment) The eleventh embodiment will be described.
And detects a flesh color area according to the third embodiment.
Embodiment 11 is such an example. In this example,
The gain control circuit 115 adjusts the waveform according to the skin color detection signal waveform.
Since the gain of the luminance signal changes, the boundary between skin color and other colors
The brightness signal gain gradually changes near the line, causing unnatural changes
There is no. (Twelfth Embodiment)
And detects a flesh-colored area according to the fourth embodiment.
Embodiment 12 is such an example. In this example, too,
The gain control circuit 115 adjusts the waveform according to the skin color detection signal waveform.
Since the gain of the luminance signal changes, the boundary between skin color and other colors
The brightness signal gain gradually changes near the line, causing unnatural changes
There is no. (Thirteenth Embodiment) The thirteenth embodiment will be described.
And detects a flesh color area according to the third embodiment.
Embodiment 13 is such an example. In this example,
The gain control circuit 118 adjusts to the waveform of the skin color detection signal.
Because the gain of the aperture correction signal changes, skin tone and other
The gain of the aperture correction signal gradually increases near the boundary with the color.
Change and no unnatural change. (Embodiment 14) Embodiment 14
And detects a flesh-colored area according to the fourth embodiment.
Embodiment 14 is such an example. In this example, too,
The gain control circuit 118 adjusts to the waveform of the skin color detection signal.
Because the gain of the aperture correction signal changes, skin tone and other
The gain of the aperture correction signal gradually increases near the boundary with the color.
Change and no unnatural change. (Embodiment 15) When a flesh color area is detected
Embodiment 15 for Controlling Frequency Characteristics of Luminance Signal
explain. FIG. 29 is a block diagram showing a configuration of the fifteenth embodiment.
In FIG. 29, portions denoted by the same reference numerals as those in FIG.
Indicates the same or corresponding parts. In FIG. 29, 133 is
LPF, 134 is a mixing circuit. Next, the operation will be described. RY color difference
From the signal input terminal 102 and the BY color difference signal input terminal 103
Input color difference signal and luminance signal input terminal 104
The luminance signal is input to the skin color detection circuit 101. Skin color detection
The circuit 101 uses a luminance signal and a color difference signal to generate a signal according to the second embodiment.
To detect a flesh color area. The luminance signal is LPF
133 and to the mixing circuit 134. Skin color detection circuit 101
Is controlled by the mixing circuit 134 when the video signal is in the flesh-tone area.
Control signal, and the mixing ratio changes according to the control signal.
The output of the PF133 and the original luminance signal are mixed, and the luminance signal
A luminance signal is output from the output terminal 116. In the skin color area
Increases the rate at which the outputs of the LPF 133 mix. this
Therefore, high-frequency components in the skin color region are suppressed, and wrinkles on the skin are suppressed.
Wear. (Embodiment 16) Embodiment 15
And detects a flesh color area according to the third embodiment.
Embodiment 16 is such an example. In this example,
The mixing circuit 134 mixes according to the waveform of the skin color detection signal.
Since the ratio changes, the color gradually decreases near the border between the skin color and other colors.
There is no unnatural change due to the change of the mixing ratio. (Embodiment 17) Embodiment 17 is different from Embodiment 15 described above.
And detects a flesh-colored area according to the fourth embodiment.
Embodiment 17 is such an example. In this example,
The mixing circuit 134 mixes according to the waveform of the skin color detection signal.
Since the ratio changes, the color gradually decreases near the border between the skin color and other colors.
There is no unnatural change due to the change of the mixing ratio. (Embodiment 18) FIG.
FIG. 31 is a block diagram showing the configuration, and FIG.
The parts with the same numbers as those in FIG. 23 indicate the same or corresponding parts.
You. Also, in FIG. 30, 135, 136 are gain control circuits, 137,
 138 is an arithmetic circuit. Next, the operation will be described. RY color difference signal
Signal input terminal 102 and BY color difference signal input terminal 103 to RY
The color difference signal and the BY color difference signal are output from the skin color detection circuit 101, respectively.
From the luminance signal input terminal 104
The luminance signal is input to the comparator 106 in the skin color detection circuit 101.
You. Then, the skin color detection circuit 101 complies with the second embodiment.
The skin color area is detected, and the skin color detection signal is supplied to the gain control circuit.
Output to 135, 136. The RY color difference signal is gain controlled.
Output to the control circuit 136 and the arithmetic circuit 137,
The signal is output to the gain control circuit 135 and the arithmetic circuit 138. The gain control circuits 135 and 136 detect flesh color.
The signal controls the gain. Gain control circuit 135
The output is input to the arithmetic circuit 137 and the output of the gain control circuit 136.
The force is input to the arithmetic circuit 138. In the arithmetic circuits 137 and 138
The two input signals are added or subtracted to form an RY color difference signal.
Output from output terminal 113 and BY color difference signal output terminal 114
You. In the skin color area, the RY color difference signal is converted to the BY color difference signal.
Is subtracted, and the RY color difference signal is added to the BY color difference signal.
Control. For this reason, the hue shifts from yellow to red.
It moves and can be corrected to the skin color close to the memory color of human. (Embodiment 19) FIG.
FIG. 31 is a block diagram showing the configuration.
Parts denoted by the same reference numerals as those in FIG. 30 indicate the same or corresponding parts.
You. Next, the operation will be described. Implementation described above
According to the third embodiment, the input RY color difference signal, BY
A color difference signal is detected based on the luminance signal, and a flesh color area is detected.
The gain of the skin color detection signal from the detection circuit 201 (slice circuit 109)
The signals are output to the control circuits 135 and 136. The following operations are performed as described above.
The description is omitted because it is the same as the eighteenth embodiment. Real truth
Even in the embodiment, the skin color can be corrected to a skin color close to human memory color,
The correction amount gradually changes near the boundary between the color and another color.
Therefore, there is no unnatural change in this area. (Embodiment 20) FIG.
FIG. 33 is a block diagram showing the configuration.
Parts denoted by the same reference numerals as those in FIG. 30 indicate the same or corresponding parts.
You. Next, the operation will be described. Implementation described above
According to the mode 4, the input RY color difference signal, BY
A color difference signal is detected based on the luminance signal, and a flesh color area is detected.
The detection circuit 101 (constant comparison circuit 110) generates a gain
The signals are output to the control circuits 135 and 136. The following operations are performed as described above.
The description is omitted because it is the same as the eighteenth embodiment. Real truth
Even in the embodiment, the skin color can be corrected to a skin color close to human memory color,
The correction amount gradually changes near the boundary between the color and another color.
Therefore, there is no unnatural change in this area. The above
In each of the eighteenth, nineteenth, and twentieth embodiments, the arithmetic circuits 137, 138
Addition or subtraction processing was performed, but the gain control circuit
135, 136 gain can be set plus or minus
May be controlled. In the above-described fifth to twentieth embodiments, the skin color area
The case where the area is corrected has been described.
By rewriting the table, it is possible to
It can be used for correction. (Embodiment 21) FIG. 33 shows a color video camera.
21 shows a configuration of a video signal processing device (Embodiment 21) of Mera
It is a block diagram. In FIG. 33, 21 is a focus lens.
, 22 is a solid-state image sensor, 23 is a CDS circuit, 24 is an automatic gain
Control circuit (AGC), 25 is A / D converter, 26 is signal
Processing circuit, 27 is window generation circuit, 28 is data select
Circuit, 29 is a band-pass filter (BPF), 30 is integration
Circuit, 31 is microcomputer, 32 is focus lens
Drive circuit, 33 is a motor, 34 is a luminance signal output terminal,
35 is an RY color difference signal output terminal, 36 is a BY color difference signal output terminal
A terminal 101 is a skin color detection circuit having the internal configuration shown in FIG.
It is. Next, the operation will be described. Focus focus
The optical image formed by the lens 21 is
Photoelectric conversion. The image output from the solid-state image sensor 22
Only the signal components of the image signal are extracted by the CDS circuit 23.
Output to the AGC 24. AGC24 is a video signal level
The gain of the video signal is controlled so that the
Output to the D converter 25. A / D converter 25 is input
The converted video signal is digitally converted. A / D converter
The video signal digitally converted by the
The data is output to the circuit 26 and the data select circuit 28. Signal processing
The circuit 26 performs signal processing such as color separation, matrix, etc.
A signal, an RY color difference signal, and a BY color difference signal are output. The window generating circuit 27 has a frame shown in FIG.
Window pulse that determines c to data select circuit 28
Output. If no skin color area is detected, select data
Circuit 28 is a diagram determined by the window generation circuit 27.
Only the data within the image frame c shown in FIG. 34 is extracted. Data selection
The video signal output from the circuit 28 is automatically output by the BPF 29.
The frequency components necessary for dynamic focusing are extracted and sent to the integration circuit 30.
Is output. The integration circuit 30 receives the input signal for each field.
Integrate and use the integrated value as the focus evaluation value
Output to the data 31. Microcomputer 31
Focus lens drive circuit for maximum value
32, focus lens 21 is moved via motor 33
The subject in the image frame c shown in 34 is focused. The skin color detection circuit 101 outputs from the signal processing circuit 26.
The input luminance signal, BY color difference signal, and RY color difference signal
The skin color area is detected from the input video signal. This skin color
The procedure for detecting the area is the same as in the second embodiment,
The description of the operation is omitted. The skin color detection circuit 101 converts the skin color detection signal into data.
Output to the data selection circuit 28. Data select circuit 28
When a skin color detection signal is input from the skin color detection circuit 101,
Window pulse output from window generation circuit 27
Stop the force, consider the skin color detection signal as a window pulse,
A only in the skin color area detected by the skin color detection circuit 101
The video signal input from the / D converter 25 to the BPF 29
Let it pass. The above focuses on the skin color area
Area. The data select circuit 28 is, for example, as shown in FIG.
It can be realized with a circuit configuration. In FIG. 35, 13
9 is an input terminal for inputting video signals, 140 is a window
Input terminal for inputting window pulse from raw circuit 27, 14
1 is an input for inputting a skin color detection signal from the skin color detection circuit 101
Terminal, 142 is a vertical synchronization signal input terminal, 143 is a video signal
Gate flip-flop, 144 is a switch, 14
5, 146 are flip-flops, and 147 is an output terminal. The data selection circuit configured as described above
The operation of the road 28 will be described. Input from input terminal 140
Window pulse and skin input from input terminal 141
Each of the color detection signals is input to the switch 144. H
The lip-flop 145 always keeps the input signal at “High”.
Signal of "High" of the skin color detection signal is input
And a “High” signal to the flip-flop 146.
The flip-flop 145 is vertically synchronized every field.
Signal resets flip-flop 146
Each time a direct synchronization signal is input, an input signal is
Output. By doing so, one field period
From the flip-flop 146 when a flesh color area is detected
A “High” signal is output. Switch 144 is flip
If the signal from flop 146 is "High",
Signal, select window pulse when "Low"
I do. The signal selected by switch 144 is flipped
It is output to flop 143 as an enable signal. Yo
The flip-flop 143 is activated when a flesh color area is detected.
The video signal input from input terminal 139 is
Hang the gate. The output signal of the BPF 29 passes through the integration circuit 30
It is input to the microcomputer 31 as the focus evaluation value.
You. The microcomputer 31 maximizes the above evaluation value
The focus lens 21 to focus on the skin color area
I do. (Embodiment 22) FIG. 36 shows a color video camera.
28 shows a configuration of a video signal processing device (Embodiment 22) of Mera
It is a block diagram. 36, the same numbers as in FIG. 33 are used.
The indicated portions indicate the same or corresponding portions. Also in Figure 36
37 is the data select circuit, 38 is the integration circuit, 39 is the eye
A squirrel, 40 is a motor, and 41 is an iris drive circuit. Next, the operation will be described. Solid-state imaging device
The optical image formed on 22 is photoelectrically
The data is converted and output to the CDS circuit 23. CDS circuit 23 is fixed
Only the video signal is extracted from the output signal of the body image sensor 22,
The data is output to the data select circuit 37 and the AGC 24. AGC
24, A / D converter 25, and signal processing circuit 26
This is the same as Embodiment 21. The data select circuit 37 generates the window
CDS times by window pulse input from path 27
The output signal from the road 23 is multiplied only in the area within the frame c shown in FIG.
The signal is passed to the dividing circuit 38. Iris 39 is integrated by integrating circuit 38.
Solid-state image sensor 22 according to the integrated value
Adjust the amount of light incident on. The skin color detection circuit 101 operates according to the second embodiment.
To detect the skin color area from the video signal and detect the detected skin color
The signal is output to the data select circuit 37. Data select
Circuit 37 receives the skin color detection signal from the skin color detection circuit 101.
Then, the window output from the window generation circuit 27
Stop the pulse input and set the skin color detection signal to the window pulse
And the output signal of the CDS circuit 23 is multiplied only within the flesh color area.
The signal is passed to the dividing circuit 38. Specific of data select circuit 37
A simple configuration example is the same as that of the twenty-first embodiment (FIG. 35). This
To detect flesh-tone areas in the video signal.
Then, the skin color area becomes the photometry area, and the iris 39 becomes the skin color area.
Light amount control is performed in accordance with the light amount. Embodiment 23 FIG. 37 shows a color video camera.
28 shows a configuration of a video signal processing device of Mera (23rd embodiment).
It is a block diagram. In FIG. 37, the same numbers as in FIG. 33 are assigned.
The indicated portions indicate the same or corresponding portions. Also in Figure 37
47 is a data select circuit, and 48 is an integration circuit. Next, the operation will be described. Solid-state imaging device
The optical image formed on 22 is photoelectrically
The data is converted and output to the CDS circuit 23. CDS circuit 23 is fixed
Only the video signal is extracted from the output signal of the body image sensor 22,
Output to AGC24. AGC24 keeps video signal level constant
The gain of the video signal is controlled so that Exit of AGC4
The force signal is supplied to the data select circuit 47 and the A / D converter
Output to 25. Data select circuit 47 starts from the window
Determined by the window pulse output from the raw circuit 27
Only the area within the picture frame c shown in FIG.
The obtained video signal is output to the integration circuit 48. Data select
A specific configuration example of the gate circuit 47 is the same as that of the twenty-first embodiment (FIG. 35).
It is like. The integration circuit 48 is input from the data selection circuit 47
The integrated signal is integrated for one field, and the integrated value is
The signal is output to the AGC 24 as a gain control signal. AGC24 is profitable
The gain of the video signal is controlled according to the
Make the video signal level constant by performing back control.
You. The operation of the A / D converter 25 and the signal processing circuit 26
This is the same as Embodiment 21. The skin color detecting circuit 101 is in accordance with the second embodiment.
To detect the skin color area from the video signal and detect the detected skin color
The signal is output to data select circuit 47. Data select
Circuit 47 receives the skin color detection signal from the skin color detection circuit 101.
Then, the window output from the window generation circuit 27
Stop the pulse input and set the skin color detection signal to the window pulse
The AGC24 output signal is integrated only within the skin color area.
Pass to Road 48. By doing so, the skin color area
AGC24 is the luminance level of the skin color area.
Is performed in accordance with the gain control. (Embodiment 24) FIG. 38 shows a color video camera.
28 shows a configuration of a video signal processing device of Mera (the twenty-fourth embodiment).
It is a block diagram. 38, the same numbers as in FIG. 33 are assigned.
The indicated portions indicate the same or corresponding portions. Also in Figure 38
37, the same data select circuit as that of the twenty-second embodiment,
Is an integrating circuit, 380 is an A / D converter, 42 is a solid-state image sensor drive.
Timing generator (TG) for motion, 43 is solid
This is an image sensor drive circuit. Next, the operation will be described. TG42 is solid
Generates pulses necessary to drive the image sensor 22
You. The solid-state imaging device drive circuit 43 receives a pulse from the TG 42
The input is used to drive the solid-state imaging device 22. The solid-state imaging device 22 is
The optical image formed on the body image sensor 22 is photoelectrically converted to a CD.
Output to the S circuit 23. The CDS circuit 23 is a
Select only video signal from output signal and select data
The signal is output to the circuit 37 and the AGC 24. AGC24, A / D converter
The operations of the inverter 25 and the signal processing circuit 26 are the same as those in the embodiment 21.
It is. The data select circuit 37 generates the window
Is determined by the window pulse output from
The video signal is extracted only from the area within the picture frame c shown in FIG.
Output to the integration circuit 338. Integrator 338 is a data select
The signal input from the gate circuit 37 is integrated for one field and the product
The minute value is output to the A / D converter 380 as a light amount value. My
The microcomputer 31 responds to the digitized integral
Control signal to the TG42 to change the shutter speed.
Output a signal. TG42 is input from microcomputer 31
The pulse of the sensor reading pulse according to the input control signal
By changing the shutter speed, you can change the shutter speed,
So that the output signal level of the CDS circuit 23 is always constant
I do. The skin color detecting circuit 101 is in accordance with the second embodiment.
To detect the skin color area from the video signal and detect the detected skin color
The signal is output to the data select circuit 37. Data select
Circuit 37 receives the skin color detection signal from the skin color detection circuit 101.
Then, the window output from the window generation circuit 27
Stop the pulse input and set the skin color detection signal to the window pulse
And passes the video signal to the integration circuit 338 only within the flesh color area.
Let it pass. By doing so, the skin color area can be measured
Area, and an electronic shutter
Adjust the speed. (Embodiment 25) FIG. 39 shows a color video camera.
28 shows a configuration of a video signal processing device of Mera (the twenty-fifth embodiment).
It is a block diagram. In FIG. 39, the same numbers as in FIG. 33 are assigned.
The indicated portions indicate the same or corresponding portions. Also in Figure 38
And 78 is the low pass filter (LPF), 79 is the slice time
Road. This slice circuit 79 is a slice circuit shown in FIG.
It has the same internal configuration as the circuit 109, and has an LPF 78 and a switch.
FIG. 20 shows a specific example of the rice circuit 79 in the horizontal scanning direction.
However, it is configured to have the same effect in the vertical direction.
Has been established. Next, the operation will be described. Basic operation
Are the same as those in the above-described Embodiment 21, and the differences will be described.
Will be described. The skin color detection circuit 101
Detects only color area and outputs skin color detection signal to LPF78
You. When the subject shown in FIG. 16 is photographed, the skin color detection signal
Is as shown in FIG. 17 (a), and the horizontal running on CD in FIG. 17 (a)
The skin color detection signal in the inspection direction is as shown in FIG. LPF
78 inputs the signal of Fig. 40 (a) and slides the signal of Fig. 40 (b).
Output to the circuit 79. The slice circuit 79 is the signal shown in FIG.
Slices the signal by a predetermined constant k, and
The signal of FIG. 40 (c) is formed into the signal of FIG. 40 (d).
The specific operation of the slice circuit 79 is as follows. The skin of FIG. 40 (b) input from the input terminal 202
The color detection signal is subtracted by the value of the constant k by the adder 203.
It is. The comparator 205 compares the signal of FIG.
When the signal in FIG. 40 (b) is larger than the constant k,
Switch 204 selects the output signal of the adder 203.
And outputs the selection signal to switch 204. Switch 204 is shown in FIG.
"Low" is selected when the signal is smaller than the constant k. S
The output signal of the switch 204 is shown in FIG. Decoder 207
Indicates that any bit in the output signal of the switch 204 is “Hig
At the time of “h”, a signal of all bits “High” is output.
The signal output from the decoder 207 is the signal shown in FIG.
No. The width w2 of the signal shown in FIG.
It becomes wider than the width w1. The video output from the signal processing circuit 26
By adjusting the delay time with the image signal, FIG.
The region represented by the signal in FIG. 41 is the region surrounded by the solid line shown in FIG.
(E in FIG. 41). The area d in FIG. 41 is the skin color detection circuit 10.
The area represented by the skin color detection signal output from 1 is shown. Whether the data select circuit 28 is a slice circuit 79
Input from the window generation circuit 27.
Stop input of window pulse to be
The signal output from the
Input from the A / D converter 25 only in the area indicated by e
Pass the signal to BPF 29. By doing this
Thus, the area e shown in FIG. 41 becomes the focus area. B
The output signal of PF29 is used as an in-focus evaluation value through the integration circuit 30.
Is input to the microcomputer 31. Microcon
Computer 31 so that the focus evaluation value is maximized.
The lens 21 is driven to focus on the skin color area. (Embodiment 26) FIG. 42 shows a color video camera.
26 shows a configuration of a video signal processing device of Mera (the twenty-sixth embodiment).
It is a block diagram. 42, the same numbers as in FIG. 39 are assigned.
Indicates the same or corresponding parts, and 328 indicates the data
It is a rect circuit. Embodiment 26 is different from Embodiment 25 in Embodiment 25.
Similarly to the above, the focus area is larger than the detected skin color area.
This is an example of how to make settings
Performed in circuit 328. FIG. 43 shows a data selection in the twenty-sixth embodiment.
FIG. 14 is a block diagram showing a configuration of a target circuit 328. Figure 43
148 is a video signal input terminal, and 149 is a circuit drive clock.
Input terminal, 150 is the skin output from the skin color detection circuit 101.
Input terminal for inputting color detection signal, 151 is microcomputer
Input terminal for inputting an output signal (predetermined value k) from the computer 31
, 152 is an input terminal for inputting a horizontal synchronization signal (HD),
153 is an input terminal for inputting a vertical synchronizing signal (VD).
Inputs a window pulse from the window generation circuit 27.
Input terminal, 155 is a delay circuit, 156 is a counter, and 157 is
Inverter element, 158 is comparator, 159 is flip-flop
160, counter, 161 comparator, 162 flip-flop
163, AND element, 164 is inverter element, 16
5 is an OR element, 166, 167, 168 are flip-flops, 16
9 is a switch, 170 is an output terminal, 401 is an inverter element
Reference numeral 402 denotes an OR element. Next, the operation will be described. Basic movement
Since the operation is the same as in Embodiments 21 and 25,
The operation in the gate circuit 28 will be described below. Input terminal 154
Window pulse input from switch input to switch 169
Is done. FIG. 44 (a) output from the skin color detection circuit 101
The skin color detection signal is input from the input terminal 150 to the rice
Cable signal. So counter 160 is skin
It counts up only while the color detection signal is “High”.
The output signal of counter 160 is output to comparator 161. The comparator 161 outputs an output signal from the counter 160.
Is compared with the constant k input from the input terminal 151.
U. The output signal from the counter 160 is a constant k
When it becomes larger, a “High” signal is output. Comparison
FIG. 44 (b) shows the output signal of the detector 161. Output of comparator 161
The signal is input as the drive clock for flip-flop 162
Is done. The flip-flop 162 sets the input signal to “High”.
“High” at the rising edge of the drive clock because it is fixed
Is output. The flip-flop 162 and the counter 160
It is reset by the HD input from the input terminal 152. Yo
44 (b) is output every horizontal scanning period. free
The output signal of flip-flop 162 is input to AND element 163.
The skin color detection signal output from the skin color detection circuit 101 (see
44 (a)) and counter 156 and flip-flop
It is output as a reset signal of step 159. AND element 16
The output signal of No. 3 is shown in Fig. 44 (c). The skin color detection signal (FIG. 44 (a)) is inverted.
The data is input to the counter 156 via the data element 157. Inva
The output signal of the data element 157 is shown in FIG. Counter 15
6 is only when the output signal of inverter element 157 is “High”
Count up. Output signal of counter 156 is compared
Input to the microcomputer 158 and input from the microcomputer 31.
When the constant k becomes larger than the constant k, the comparator 158 becomes “High”.
Is output. The output signal of the comparator 158 is shown in FIG.
The output signal of the comparator 161 is used to drive the flip-flop 159.
Entered as lock. Flip-flop 159 is input
Since the signal is fixed to “High”, the drive clock rises.
Outputs “High” when rising. Flip-flop of 159
Output signal to OR element 165 via inverter element 164
Is entered. OR element 165 is the output of inverter element 164
The logical sum of the signal (FIG. 44 (f)) and the skin color detection signal (FIG. 44 (a))
Do. The output signal of the OR element 165 is shown in FIG. Figure 44
The signal of (g) is supplied to the OR element 402 through the inverter element 401.
To the next line to be ORed with HD
The signal of (b) becomes (b ′). [0177] The flip-flop 167 outputs the flesh color detection signal.
Outputs a “High” signal when “High” and outputs one field
It is reset by VD every time. Also flip-flop
The flip-flop 168 switches the flip-flop 167 every time VD is input.
Output the output signal. Switch 169 is a flip-flop
Selects the skin color detection signal when the signal from 168 is “High”
When it is "Low", a window pulse is selected. Yo
When a skin color area is detected during one field period
Output from the window generation circuit 27 by the switch 169
The selected window pulse is not selected, and the signal in FIG.
Selected as the gate signal. Selected by switch 169
The selected signal is the enable signal to flip-flop 166.
Is output as Output from A / D converter 25
The video signal is input from the input terminal 148 and is input to the delay circuit 155.
Therefore, it is delayed by T1 / 2 shown in FIG. T1 / 2
The delayed video signal is input to the flip-flop 166.
The flip-flop 166 converts the video signal to the signal shown in FIG.
Hang the gate with. Also, in the vertical scanning direction, FIG.
It is configured to generate a signal. The above circuit configuration
Larger than the skin color area d detected by the skin color detection circuit 101
Gate the video signal only in the area of threshold e (see Figure 41).
Can be The following operation is the same as that of the twenty-fifth embodiment.
Therefore, the description is omitted. Note that the data select circuit
FIG. 43 shows a specific configuration example of 28, but the
44 (g), the circuit shown in FIG.
It goes without saying that the road configuration is not limited. (Embodiment 27) FIG. 45 shows a color video camera.
28 shows a configuration of a video signal processing device of Mera (the twenty-seventh embodiment).
It is a block diagram. 45, the same numbers as those in FIG. 36 are assigned.
45 indicate the same or corresponding parts, and FIG.
And 78 is the low pass filter (LPF), 79 is the slice time
Road. This slice circuit 79 is a slice circuit shown in FIG.
It has the same internal configuration as the circuit 109, and has an LPF 78 and a switch.
FIG. 20 shows a specific example of the rice circuit 79 in the horizontal scanning direction.
However, it is configured to have the same effect in the vertical direction.
Has been established. Next, the operation will be described. Basic operation
Are the same as those in the above-mentioned Embodiment 22, so that different points will be described.
Will be described. The skin color detection circuit 101
Detects only color area and outputs skin color detection signal to LPF78
You. When the subject shown in FIG. 16 is photographed, the skin color detection signal
Is as shown in FIG. 17 (a), and the horizontal running on CD in FIG. 17 (a)
The skin color detection signal in the inspection direction is as shown in FIG. LPF
78 inputs the signal of Fig. 46 (a) and slides the signal of Fig. 46 (b).
Output to the circuit 79. The slice circuit 79 is the signal shown in FIG.
Slices the signal by a predetermined constant k, and
The signal of FIG. 46 (c) is formed into the signal of FIG. 46 (d).
The specific operation of the slice circuit 79 is the same as in the twenty-fifth embodiment.
is there. The signal width w3 in FIG. 46 (d) is the signal width w in FIG. 46 (a).
Narrower than 1. The area represented by the signal in FIG.
47 (f in FIG. 47). In FIG. 47
The region d is the skin color detection signal output from the skin color detection circuit 101.
Indicates the area represented by the symbol. Is the data select circuit 37 a slice circuit 79?
When the skin color detection signal is input from the
Stop input of window pulse output from
The signal output from the circuit 79 is regarded as a window pulse.
Then, only the area f in FIG. 47 is input from the CDS circuit 23.
The signal is passed to the integration circuit 38. Data select circuit 37
Is similar to that of FIG. Do this
As a result, the area f shown in FIG. 47 becomes a photometric area. De
The output signal of the data select circuit 37 is
The value is input to the iris drive circuit 41 as a
Step 39 performs light amount control according to the light amount of the skin color area. (Embodiment 28) FIG. 48 shows a color video camera.
28 shows a configuration of a video signal processing device of Mera (the twenty-eighth embodiment).
It is a block diagram. 48, the same numbers as in FIG. 45 are used.
Indicates the same or corresponding parts, and 337 indicates the data
It is a rect circuit. Embodiment 28 is based on Embodiment 27
Set the photometry area smaller than the detected skin color area
This setting operation is performed by the data selection circuit 337.
Do within. FIG. 49 is a diagram showing a data select according to the twenty-eighth embodiment.
4 is a block diagram illustrating a configuration of a gate circuit 337. FIG. Fig. 49
43, the same reference numerals as those in FIG. 43 denote the same or corresponding parts.
Is shown. Next, the operation will be described. Basic movement
Since the operation is the same as in Embodiments 22 and 27,
The operation in the gate circuit 28 will be described below. Microcon
The computer 31 sets a predetermined value of k to the data selection time.
Output to the road 37. Window input from input terminal 154
The pulse is input to the switch 169. Skin color detection circuit 10
The skin color detection signal output from Fig. 44 (a) shown in Fig. 44 (a) is
Input from the slave 150 as an enable signal for the counter 156.
It is. Therefore, the counter 156 determines that the skin color detection signal is "Hi".
gh ”is counted up.
The force signal is output to comparator 161. The comparator 161 is
Input signal from the input terminal 151 and the output signal from the
Compare with constant k. Comparator 161 outputs from counter 156
“High” signal when the output signal of
Output a signal. The output signal of comparator 161 is shown in Fig. 44 (b).
You. The output signal of comparator 161 is driven by flip-flop 162.
It is input as the operating clock. Flip-flop 162 is
Since the input signal is fixed at “High”,
Outputs “High” at the rising edge. Flip-flops16
2 and the counter 156 are connected to the HD input from the input terminal 152.
Reset with. Therefore, in FIG.
Output a signal. The output signal of flip-flop 162 is A
Input to the ND element 163 and output from the skin color detection circuit 101
The logical AND with the obtained flesh color detection signal (FIG. 44 (a)) is performed. AND element
The output signal of the child 163 is shown in FIG. The flip-flop 167 outputs the flesh color detection signal.
Outputs a “High” signal when “High” and outputs one field
It is reset by VD every time. Also flip-flop
The flip-flop 168 switches the flip-flop 167 every time VD is input.
Output the output signal. Switch 169 is a flip-flop
Selects the skin color detection signal when the signal from 168 is “High”
When it is "Low", a window pulse is selected. Yo
When a skin color area is detected during one field period
Output from the window generation circuit 27 by the switch 169
The selected window pulse is not selected, and the signal in FIG.
Selected as the gate signal. Selected by switch 169
The selected signal is the enable signal to flip-flop 166.
Is output as Output from A / D converter 25
The video signal is input from the input terminal 148 and is input to the delay circuit 155.
Therefore, it is delayed by T1 / 2. Delayed by T1 / 2
The video signal is input to the flip-flop 166,
Flop 166 gates the video signal with the signal in Fig. 44 (c).
I can. With the above circuit configuration, the skin color detection circuit 101 detects
Only the area of f smaller than the shaded skin color area d (see FIG. 47)
The image signal can be gated. The following operation is the same as that of the twenty-seventh embodiment.
Therefore, the description is omitted. Note that the data select circuit
FIG. 49 shows a specific example of the configuration of 37.
44 (c), the circuit shown in FIG.
It goes without saying that the road configuration is not limited. (Embodiment 29) FIG. 50 shows a color video camera.
28 shows the configuration of a video signal processing device (29th embodiment) of Mera
It is a block diagram. 50, the same numbers as in FIG. 37 are used.
45 indicate the same or corresponding parts, and FIG.
And 78 is the low pass filter (LPF), 79 is the slice time
Road. This slice circuit 79 is a slice circuit shown in FIG.
It has the same internal configuration as the circuit 109, and has an LPF 78 and a switch.
FIG. 20 shows a specific example of the rice circuit 79 in the horizontal scanning direction.
However, it is configured to have the same effect in the vertical direction.
Has been established. Next, the operation will be described. Basic operation
Are the same as those in Embodiment 23 described above,
Will be described. As in the twenty-seventh embodiment, slice circuit 79
The output signal from is as shown in FIG. 46 (d), and its width w3 is
The width becomes narrower than the width w1 of the skin color detection signal (FIG. 46A). Figure 46
The area represented by the signal (d) is surrounded by the solid line shown in FIG.
This is the area (f in FIG. 47). Is the data select circuit 47 a slice circuit 79?
When the skin color detection signal is input from the
Stop input of window pulse output from
The signal output from the circuit 79 is regarded as a window pulse.
The signal input from the AGC 24 only in the area f in FIG.
Through the integration circuit 48. Components of data select circuit 47
A physical configuration example is the same as that of FIG. Doing this
Accordingly, the area f in FIG. 47 becomes the photometry area. Data selection
The output signal of the target circuit 47 is converted into a light amount value through an integrating circuit 48.
The AGC 24 is input to the AGC 24 in the area f in FIG.
Performs gain control according to the amount of light. (Embodiment 30) FIG. 51 shows a color video camera.
28 shows the configuration of a video signal processing device (Embodiment 30) of Mera
It is a block diagram. 51, the same numbers as those in FIG. 50 are assigned.
The indicated portions indicate the same or corresponding portions. Embodiment 30
Is the same as in the above-described Embodiment 29,
This is an example of setting smaller than the color area.
Data selection circuit 347. Data select circuit 34
The configuration of FIG. 7 corresponds to the configuration of the data select circuit 337 shown in FIG.
Is the same as The basic operation is the same as in the twenty-third and twenty-ninth embodiments.
The same is applied, and the operation in the data select circuit 347 is as follows.
The operation is the same as that in the selection circuit 337 of the twenty-eighth embodiment described above.
Therefore, their description is omitted. (Embodiment 31) FIG. 52 shows a color video camera.
28 shows a configuration of a video signal processing device (Embodiment 31) of Mera
It is a block diagram. In FIG. 52, the same numbers as in FIGS. 38 and 45 are used.
The numbered parts indicate the same or corresponding parts. This practice
Embodiment 31 is different from Embodiment 24 (which corresponds to the light amount in
Example) where the shutter speed is adjusted
Make the photometry area smaller than the flesh color area, as in modes 27 and 29
It is an example. The operation of the present embodiment is described in these embodiments.
It is easily understood by referring to 24, 27, 29, etc.
Is omitted. (Embodiment 32) FIG. 53 shows a color video camera.
28 shows a configuration of a video signal processing device (Embodiment 32) of Mera.
It is a block diagram. 53, the same numbers as in FIG. 52 are used.
The indicated portions indicate the same or corresponding portions. Embodiment 32
Is the skin in which the photometry area is detected in the same manner as in Embodiment 31.
This is an example of setting smaller than the color area.
This is performed in the data select circuit 337 as in the twenty-eighth embodiment.
Note that the basic operation is the same as in Embodiment 24, and
The operation in the data select circuit 337 is the same as that described in the embodiment.
Same as state 28. (Embodiment 33) FIG. 54 shows a color video camera.
28 shows a configuration of a video signal processing device (Embodiment 33) of Mera.
It is a block diagram. 54, the same numbers as those in FIG. 39 are assigned.
The indicated portions indicate the same or corresponding portions. Also in Figure 54
44 moves the zoom lens, 45 moves the zoom lens 44
Motor 46 is controlled by the microcomputer 31
A zoom lens that gives a drive signal to the motor 45 based on the control signal
Drive circuit. The basic operation of the present embodiment is the same as that described above.
This is the same as Embodiment 25. In the present embodiment, the micro
The computer 31 detects the position of the focus lens 21 and the zoom.
The distance L from the position of the lens 44 to the subject and the enlargement of the subject.
A large magnification Z is calculated, and the distance L and the magnification Z are used.
Is determined as shown in Expression 5, and the determined k is determined by the slice level.
Output to the slice circuit 79. (Equation 5) k = a · Z / L where a: constant By setting k in this way,
The focus area (area e) shown in FIG.
Depending on the distance to the object and the magnification of the subject, for example,
5, changes as shown in FIG. (Embodiment 34) FIG. 57 shows a color video camera.
28 shows a configuration of a video signal processing device of Mera (Embodiment 34).
It is a block diagram. In FIG. 57, the same number as in FIGS. 42 and 54
The numbered parts indicate the same or corresponding parts. Of this implementation
The embodiment is different from the embodiment 26 in the embodiment 26 in the embodiment 33.
Similarly, k calculated by equation 5 is output to the data select circuit 28.
This is an example in which the force is applied. (Embodiment 35) FIG. 58 shows a color video camera.
28 shows a configuration of a video signal processing device of Mera (Embodiment 35).
It is a block diagram. In FIG. 58, the same numbers as in FIGS. 45 and 54 are used.
The numbered parts indicate the same or corresponding parts. The basic operation of this embodiment is the same as that described above.
This is the same as Embodiment 27. In the present embodiment, the micro
The computer 31 detects the position of the focus lens 21 and the zoom.
The distance L from the position of the lens 44 to the subject and the enlargement of the subject.
Calculate the large magnification Z and determine k as shown in the above equation 5.
To the slice circuit 79 with the determined k as the slice level
Output. By setting k in this way, the figure
The metering area (f region) shown in FIG.
Depending on the separation and the magnification of the subject, for example,
To change. (Embodiment 36) FIG. 61 shows a color video camera.
28 shows a configuration of a video signal processing device of Mera (Embodiment 36).
It is a block diagram. In FIG. 61, the same numbers as in FIGS. 48 and 58
The numbered parts indicate the same or corresponding parts. Of this implementation
The embodiment is different from the embodiment 28 described above in the embodiment 35 and the embodiment 35.
Similarly, k calculated by equation 5 is output to the data select circuit 37.
This is an example in which the force is applied. (Embodiment 37) FIG. 62 shows a color video camera.
37 shows a configuration of a video signal processing device (Embodiment 37) of Mera
It is a block diagram. In FIG. 62, the same numbers as in FIGS. 50 and 54 are used.
The numbered parts indicate the same or corresponding parts. [0203] The basic operation of this embodiment is as described above.
This is the same as Embodiment 29. In the present embodiment, the micro
The computer 31 detects the position of the focus lens 21 and the zoom.
The distance L from the position of the lens 44 to the subject and the enlargement of the subject.
Calculate the large magnification Z and determine k as shown in the above equation 5.
To the slice circuit 79 with the determined k as the slice level
Output. By setting k in this way, the figure
The metering area (f region) shown in FIG.
Depending on the separation and the magnification of the subject, for example,
To change. (Embodiment 38) FIG. 63 shows a color video camera.
28 shows a configuration of a video signal processing device (Embodiment 38) of Mera.
It is a block diagram. 63, the same numbers as in FIGS. 51 and 62
The numbered parts indicate the same or corresponding parts. Of this implementation
The embodiment is different from the embodiment 30 in the embodiment 30 with the embodiment 37.
Similarly, k calculated by equation 5 is output to the data selection circuit 47.
This is an example in which the force is applied. (Embodiment 39) FIG. 64 shows a color video camera.
28 shows the configuration of a video signal processing device (Embodiment 39) of Mera
It is a block diagram. In FIG. 64, the same numbers as in FIGS. 52 and 54 are used.
The numbered parts indicate the same or corresponding parts. The basic operation of this embodiment is the same as that described above.
This is the same as Embodiment 31. In the present embodiment, the micro
The computer 31 detects the position of the focus lens 21 and the zoom.
The distance L from the position of the lens 44 to the subject and the enlargement of the subject.
Calculate the large magnification Z and determine k as shown in the above equation 5.
To the slice circuit 79 with the determined k as the slice level
Output. By setting k in this way, the figure
The metering area (f region) shown in FIG.
Depending on the separation and the magnification of the subject, for example,
To change. (Embodiment 40) FIG. 65 shows a color video camera.
28 shows a configuration of a video signal processing device of Mera (40th embodiment).
It is a block diagram. In FIG. 65, the same numbers as in FIGS. 53 and 64 are used.
The numbered parts indicate the same or corresponding parts. Of this implementation
The embodiment is different from the embodiment 32 in the embodiment 32 and the embodiment 39.
Similarly, k calculated by equation 5 is output to the data select circuit 37.
This is an example in which the force is applied. (Embodiment 41) Embodiment 41 is directed to the above-described embodiment.
Example in which Embodiment 33 limits the value of k to be calculated
It is. The configuration of the present embodiment is similar to that of Embodiment 33 (FIG. 54).
Is the same. The microcomputer 31
From the position of the lens 21 and the position of the zoom lens 44 to the subject
Is calculated, and the magnification L of the subject is calculated.
And z are used to determine k as shown in Equation 5,
K calculated from equation (6) is a predetermined s1
And s2. (Equation 6) s1 ≧ a · Z / L ≧ s2 In the present embodiment, FIGS.
As shown, the focus area changes depending on L and Z.
However, since the value of k is limited by s1, the distance to the subject is
The reciprocal of the separation (1 / L), the magnification Z of the subject, and the constant a
When the product becomes s1 or more, k becomes a fixed value of s1. Therefore
When the skin color area exceeds the angle of view defined by s1, the foreground
The focus area is smaller than the skin color area as shown in FIG.
Area (FIG. 66e). It should be noted that such a method is
Needless to say, this can also be realized in the form 34 (the configuration in FIG. 57).
Nor. (Embodiment 42) Embodiment 42 is a modification of the above-described embodiment.
Example where Embodiment 35 limits the value of k to be calculated
It is. The configuration of the present embodiment is different from that of the embodiment 35 (FIG. 58).
Is the same. The microcomputer 31
As shown in Expression 5, the distance L and the magnification Z of the subject
Where k calculated from Equation 5 is given by Equation 6 above.
Limited by predetermined values of s1 and s2 as shown
It is. In the present embodiment, as shown in FIGS.
As described above, the focus area changes depending on L and Z,
Since the value of k is limited by s2, the inverse of the distance to the subject
The product of the number (1 / L), the magnification Z of the object and the constant a is s
When it becomes 2 or less, k becomes a fixed value of s2. Therefore the skin color area
When the area falls below the angle of view determined by s2, the photometric area
Is an area larger than the skin color area as shown in FIG. 67 (FIG. 67f)
Becomes Such a method is described in the embodiment 36 (FIG. 61).
Needless to say, the present invention can also be realized by the above configuration. (Embodiment 43) The embodiment 43 is different from the above-mentioned embodiment.
Example where Embodiment 37 limits the value of k to be calculated
It is. The configuration of this embodiment is the same as that of the embodiment 37 (FIG. 62).
Is the same. The microcomputer 31
As shown in Expression 5, the distance L and the magnification Z of the subject
Where k calculated from Equation 5 is given by Equation 6 above.
Limited by predetermined values of s1 and s2 as shown
It is. In the present embodiment, as shown in FIGS.
As described above, the focus area changes depending on L and Z,
Since the value of k is limited by s2, the inverse of the distance to the subject
The product of the number (1 / L), the magnification Z of the object and the constant a is s
When it becomes 2 or less, k becomes a fixed value of s2. Therefore the skin color area
When the area falls below the angle of view determined by s2, the photometric area
Is an area larger than the skin color area as shown in FIG. What
Incidentally, such a method is described in Embodiment 38 (the configuration of FIG. 63).
Needless to say, this can be achieved. (Embodiment 44) Embodiment 44 is a modification of the above-described embodiment.
Example in which Embodiment 39 restricts the value of k to be calculated
It is. The configuration of the present embodiment is the same as that of the embodiment 39 (FIG. 64).
Is the same. The microcomputer 31
As shown in Expression 5, the distance L and the magnification Z of the subject
Where k calculated from Equation 5 is given by Equation 6 above.
Limited by predetermined values of s1 and s2 as shown
It is. In the present embodiment, as shown in FIGS.
As described above, the focus area changes depending on L and Z,
Since the value of k is limited by s2, the inverse of the distance to the subject
The product of the number (1 / L), the magnification Z of the object and the constant a is s
When it becomes 2 or less, k becomes a fixed value of s2. Therefore the skin color area
When the area falls below the angle of view determined by s2, the photometric area
Is an area larger than the skin color area as shown in FIG. What
Note that such a method is applicable to the forty-fourth embodiment (the configuration in FIG. 65).
Needless to say, this can be achieved. As described above, Embodiments 21, 25, 26, 33,
With the simple circuit configuration, the auto focus is always
Can be focused on the main subject (person). In addition,
Embodiment 22, 23, 24, 27, 28, 29, 30, 31, 32, 35, 3
6, 37, 38, 39, 40, 42, 43, 44
Subject (person) is overexposed, regardless of backlight or over-direct lighting
The best image can be obtained without blackening
The photometric area control can be performed as described above. (Embodiment 45) FIG. 68 shows a color video camera.
FIG. 47 is a block diagram illustrating a configuration of a camera (Embodiment 45).
In FIG. 68, the same reference numerals as in FIG.
Indicates a substantial part. In FIG. 68, 49 is a remote controller,
50 is a receiving circuit, 80 is an output terminal, 351 is a data latch circuit
It is. FIG. 69 shows the internal configuration of the data latch circuit 351.
And 402 and 403 are flip-flops. Next, the operation will be described. focus
Area setting, skin color area detection by skin color detection circuit 101
Since the output is the same as in Embodiment 21,
Is omitted. Detected by the skin color detection circuit 101
The flesh color detection signal is output to the data latch circuit 351.
You. The skin color detection signal is a driving clock of the flip-flop 402.
Input as a lock. Signal input of flip-flop 402
Because the input terminal is fixed to “High”, the skin color detection signal
Outputs a “High” signal when a “High” signal is input
I do. The output signal of flip-flop 402 is flip-flop
Input as the drive clock for flip-flop 403
The same operation as in step 402 is performed. Also flip-flop
VD pulse as reset signal for 402, 403 reset terminal
Input to child. Due to the above, one vertical scanning period
When a flesh color area is detected within the data latch circuit 351
During the next one horizontal scanning period, a “High” signal is output.
Therefore, one horizontal line is generated by the output signal of the data latch circuit 351.
It is possible to determine whether or not there is a skin color area within the scanning period. The flowchart shown in FIG.
3 shows an algorithm of the computer 31. Hereinafter, the flowchart of FIG.
Explanation will be given along a flowchart. First, the receiving circuit 50
When receiving the “recording signal” transmitted from the mocon 49,
The “recording signal” is output to the microcomputer 31. Ma
The micro computer 31 receives the “recording signal” (the
Step S1) and shooting from the output signal of the skin color detection circuit 101
To determine whether there is a skin color area in the video signal
(Step S2) When there is no skin color area in the video signal
Does not output the “recording signal” to the output terminal 80 (step S
3). Therefore, send a “recording signal” from the remote control 49
Recording is not started. The output signal of the data latch circuit 351 is
When a skin color area is detected in the video signal
The computer 31 outputs the “recording signal” to the output terminal 80. My
The “recording signal” output from the microcomputer 31
The video camera starts recording the video signal being shot
(Step 4). Also, after starting the recording,
It is determined whether or not there is a skin color area (step S5), and
If no flesh-tone area is detected in the signal,
The “recording stop signal” is output from the computer 31 (step S
6) The video camera starts recording by “recording stop signal”.
Stop. (Embodiment 46) FIG. 71 shows a color video camera.
108 is a block diagram illustrating a configuration of a camera (Embodiment 46).
In FIG. 71, the same reference numerals as in FIG.
Indicates a substantial part. In FIG. 701, 81 is an output terminal,
82 is a resistor and 83 is a light emitting diode. FIG. 72 is a flow chart of the present embodiment.
Shows the algorithm in the microcomputer 31
Steps that have the same contents as the flowchart shown in FIG. 70
Have the same step numbers. Take before recording starts
If there is no skin color area in the shadowed video signal (step
2), an “erroneous recording signal” is output to the output terminal 81
Is done. (Step 7). Therefore, the remote control 49
Recording does not start even if the image signal is transmitted.
After the start, if no flesh-tone area is detected in the video signal (scan
Step 5: NO) Also, from the microcomputer 31
“Error recording signal” is output to the output terminal 81 (step
8). The output of the "erroneous recording signal" is
5V, "High" signal from computer 31 to output terminal 81
Assume that it is output. The above signal is output via a resistor 82
The light is input to the diode 83, and the light emitting diode 83 emits light.
The “erroneous recording signal” is not limited to 5V and “High”,
It may be a voltage or other data signal. (Embodiment 47) FIG. 73 shows a color video camera.
FIG. 47 is a block diagram illustrating a configuration of a camera (Embodiment 47).
In FIG. 73, the same reference numerals as in FIG.
Indicates a substantial part. In FIG. 73, reference numeral 84 denotes a buzzer call.
The circuit, 85 is a buzzer. Next, the operation will be described.
You. When no skin color area is detected in the video signal,
According to the flow chart shown, the “false recording signal”
The signal is output to the transmitting circuit 84. "Incorrect recording signal" is input
And the buzzer transmission circuit 84 makes the buzzer 85 transmit. Note that
The oscillator 84 and buzzer 85 are configured to generate an electronic sound.
There may be. (Embodiment 48) FIG. 74 shows a color video camera.
108 is a block diagram illustrating a configuration of a camera (Embodiment 48).
In FIG. 74, the same reference numerals as in FIG.
Indicates a substantial part. In FIG. 74, reference numeral 86 denotes a remote controller 49.
Similarly, the signal from the microcomputer 31
This is a transmission circuit for transmitting light according to the light emission pattern. Next, the operation will be described. In video signal
When no skin color area is detected, the flowchart shown in FIG.
A “false recording signal” is output to the transmission circuit 86 according to the
You. The remote control 49 receives the infrared light transmitted as shown in FIG.
A receiving circuit 87 for receiving lines and a liquid crystal display for displaying characters, etc.
A spray 88 is provided. Remote control 49 is a transmission circuit
When the “false recording signal” transmitted from the
The display 88 indicates that the recording is erroneous. The above
The liquid crystal display 88 is another display device such as a cathode ray tube.
It may be. Further, the display provided on the remote control 49 is provided.
Instead of the ray, as shown in FIG.
A buzzer 90 is provided, and the receiving circuit 87 receives the “false recording signal”.
When this signal is received, a signal indicating the reception of this signal, for example, “High”
The signal is output to the buzzer transmission circuit 89, and the buzzer transmission circuit 89
When a signal is input from the receiving circuit 87, the buzzer 90 is transmitted.
It goes without saying that the same effect can be obtained even if
Absent. The buzzer 90 and the buzzer transmission circuit 89 are electronic sounds.
May be provided. (Embodiment 49) FIG. 77 shows a color video camera.
108 is a block diagram illustrating a configuration of a camera (Embodiment 49).
In FIG. 77, the same reference numerals as in FIG.
Indicates a substantial part. In FIG. 77, 171 is the encoding
172, 173 are D / A converters, 174 is luminance signal processing
Circuit, 175 is FM modulation circuit, 176 is high-pass filter
(HPF), 177 is an automatic chroma gain control circuit (AC
C), 178 is burst emphasis circuit, 179 is frequency
Low-pass conversion circuit, 180 is a low-pass filter (LPF), 18
1 is an adder, 182 is a recording amplifier, 183 is a rotary
, 184 is the recording / playback head, 185 is the tape, 186 is the control.
A roll signal generation circuit 187 is a fixed head. Next, the operation will be described. focus
Area setting, skin color area detection by skin color detection circuit 101
Since the output is the same as in Embodiment 21,
Is omitted. The luminance signal output from the signal processing circuit 25,
The RY color difference signal and the BY color difference signal are sent to the encoder 171.
Therefore, the synchronization signal is added to the luminance signal, and the color difference signal is balanced.
After being modulated, a burst is added and output. Enko
The luminance signal output from the
After being converted into an analog signal at 172, the luminance signal is processed by the luminance signal processing circuit 174.
Therefore, frequency deviation adjustment, clamping, pre-emphasis, etc.
After the signal processing of
M-modulated and output to the adder 181 via the HPF 176.
You. The color difference signal output from the encoder 171 is D
After being converted to analog by the / A converter 173, ACC17
7 so that the burst signal size is constant.
Adjusts the gain of the difference signal and sets the burst emphasis circuit 178
Increases the burst gain. Burst Enf
The color difference signal output from the
Conversion circuit 179 converts the frequency of the color difference signal to low frequency
Then, it is output to the adder 181 via the LPF 180. Addition
The unit 181 combines the luminance signal and the color difference signal. Adder 181
The video signal output from the
-Tape by recording / playback head 184 via transformer 183
Recorded on 185. As shown in FIG. 78, the fixed head 187 is
On the control track located at the bottom of
The recording / reproducing head 184 for recording / reproducing the image signal is
Control so that you can trace the
Control signal generated by the
Record. The algorithm in the microcomputer 31
The rhythm is the same as in the flowchart of FIG. Video signal
When no skin color area is detected in the signal, the flow shown in FIG.
According to the chart, the “wrong recording signal” is the control signal
When output to the generation circuit 186, the control signal generation
Path 186 is the normal control signal and signal rise
Are the same but different duty ratio detection signals, so-called VI
Outputs SS signal. VISS signal to fixed head 187
Recorded on the control track on tape 185
You. (Embodiment 50) FIG. 79 shows a color video camera.
FIG. 55 is a block diagram illustrating a configuration of a camera (Embodiment 50).
In FIG. 79, the same reference numerals as in FIG.
Indicates a substantial part. Also, in FIG. 79, 91 is a memory, 92
Is an adder. Next, the operation will be described. Basic movement
Since the operation is the same as that of the embodiment 45, the description is omitted.
You. The output signal of the skin color detection circuit 101 is stored in a memory 91 and an adder.
Output to 92. The memory 91 stores the output signal of the skin color detection circuit 101.
When a number is input, the skin color area for one field is stored,
After storing the skin color area for one field, the skin color after that
The output signal of the detection circuit 101 is not stored. Memory 91 is stored
The output signal of the flesh color detection circuit 101 is output to the adder 92.
You. The adder 92 stores the output signal of the skin color detection circuit 101 into a memory.
Subtract 91 output signal. For example, as shown in FIG.
When fixing the camera 52 to a tripod 53 and shooting yourself
Before starting recording with the remote control 49, see Fig. 80 (a).
It is assumed that a landscape such as a sea has been photographed. Fig. 80 (b) shows the luminance signal.
Figure 11 shows the brown video signal of a "tree" with a high signal level
Since the skin color area was satisfied, it was detected as a skin color area,
The output signal of the skin color detection circuit 101 when capturing the image in Fig. 80 (a)
FIG. However, it is detected in FIG.
The flesh-colored area is the main subject to be detected in this embodiment.
It is not a skin color area for recognizing the photographer 51 who is the subject.
No. The signal shown in FIG. 80 (b) is stored in the memory 91.
You. The memory 91 outputs the signal shown in FIG. So
Therefore, the output signal of the adder 92 is far, as shown in FIG.
In the video signal before recording by remote operation,
Unless the video signal shown in FIG.
From the output signal through the data latch circuit 351,
Not detected. The flowchart of FIG. 81 is used in the present embodiment.
Shows the algorithm in the microcomputer 31
ing. Hereinafter, the operation will be described according to this flowchart.
I do. “Recording signal” is input to the microcomputer 31
(Step S11), the output signal of the skin color detection circuit 101
The output signal of the adder 92 obtained by subtracting the output signal of the memory 91 from the
It is determined whether there is a skin color area in the signal (step S1)
2). If there is no skin color area in the output signal of the adder 92,
No "recording signal" is output to the output terminal 80 (step S1
3). Therefore, send a “recording signal” from the remote control 49
Also does not start recording. Video signal from output signal of adder 92
When detecting a flesh color area in the signal, the microcomputer 31
The “recording signal” is output to the output terminal 80. Micro compilation
The video recording signal is output from the
The camera starts recording the video signal being shot (step
Step S14). After the start of recording, the output signal of the adder 92
If no skin color area is detected (step S15: N
O), a "recording stop signal" from the microcomputer 31
It is output (step S16). The video camera is
The recording is stopped by the "stop signal". (Embodiment 51) FIG. 82 shows a color video camera.
FIG. 52 is a block diagram illustrating a configuration of a camera (Embodiment 51).
In FIG. 82, the portions denoted by the same reference numerals as in FIGS. 71 and 79 are the same as those in FIGS.
Show one or equivalent part. The flowchart shown in FIG. 83 is used in this embodiment.
Shows the algorithm in the microcomputer 31
Steps that have the same contents as the flowchart shown in FIG.
Have the same step numbers. Before starting recording,
When there is no skin color area in the output signal of the calculator 92 (step 1
2: NO), an “erroneous recording signal” is output to the output terminal 81.
It is. (Step 17). "Recording" from the remote control 49
Signal does not start even if the signal is sent.
After start, no skin color area is detected in the output signal of the adder 92
In this case (step 15: NO), the microcomputer
31 outputs an “error recording signal” to the output terminal 81 (step
18). The output of the "erroneous recording signal" is
5V, "High" signal from computer 31 to output terminal 81
Assume that it is output. The above signal is output via a resistor 82
The light is input to the diode 83, and the light emitting diode 83 emits light.
The “erroneous recording signal” is not limited to 5V and “High”,
It may be a voltage or other data signal. (Embodiment 52) FIG. 84 shows a color video camera.
FIG. 47 is a block diagram illustrating a configuration of a camera (Embodiment 47).
In FIG. 84, portions denoted by the same reference numerals as in FIGS. 73 and 79 are the same as those in FIGS.
Show one or equivalent part. Next, the operation will be described.
You. If no skin color area is detected in the output signal of the adder 92
83, the “erroneous recording signal” according to the flowchart shown in FIG.
Is output to the buzzer transmission circuit 84. “Error recording signal”
When input, the buzzer transmission circuit 84 transmits the buzzer 85
You. Note that the buzzer transmission circuit 84 and the buzzer 85 emit an electronic sound.
It may be a configuration in which it is generated. (Embodiment 53) FIG. 85 shows a color video camera.
108 is a block diagram illustrating a configuration of a camera (Embodiment 53).
In FIG. 84, portions denoted by the same reference numerals as in FIGS. 74 and 79 are the same as those in FIGS.
Show one or equivalent part. Next, the operation will be described.
You. If no skin color area is detected in the output signal of the adder 92
83, the “erroneous recording signal” according to the flowchart shown in FIG.
Is output to the transmission circuit 86. The following operations are performed as described above.
The description is omitted because it is the same as the forty-eighth embodiment. (Embodiment 54) FIG. 86 shows a color video camera.
108 is a block diagram illustrating a configuration of a camera (Embodiment 54).
In FIG. 86, portions denoted by the same reference numerals as in FIGS. 77 and 79 are the same as those in FIGS.
Show one or equivalent part. Next, the operation will be described.
You. If no skin color area is detected in the output signal of the adder 92
83, the “erroneous recording signal” according to the flowchart shown in FIG.
Generates a control signal from the microcomputer 31
Input to circuit 186. The following operation is based on the above-mentioned embodiment.
Since this is the same as in embodiment 49, the description thereof is omitted. In the above embodiments 50 to 54, the memory
The video signal stored by the 91
You may make it selectable. For example, the photographer remembers
Provide an external terminal that can determine the video signal.
The external input signal is recorded when the photographer presses the
The skin at the time when the external input signal is given to the
The output signal of the color detection circuit 101 is stored in the memory 91. (Embodiment 55) FIG. 87 shows a color video camera.
FIG. 55 is a block diagram illustrating a configuration of a camera (Embodiment 55).
In FIG. 87, portions denoted by the same reference numerals as in FIGS. 54 and 68 are the same.
Show one or equivalent part. In FIG. 87, reference numeral 93 denotes a window.
A window generating circuit 94 is a data select circuit. Next, the operation will be described. Basic movement
The operation is the same as in the above-mentioned Embodiment 33 and Embodiment 45.
The description is omitted. The microcomputer 31
Calculate distance L to subject and magnification Z of subject
You. The microcontroller is calculated based on the calculated distance L and the magnification Z.
The computer 31 outputs a control signal to the window generation circuit 93.
You. The window generation circuit 93 has a Wx, yFrame
The window pulse to be set is output to the data select circuit 94.
Power. The window output from the window generation circuit 93
The size of the image frame determined by the window pulse is given by Equation 6.
As shown in FIG. 7, the distance varies depending on the distance L and the magnification Z.
The data select circuit 94 has a size within the size of the image frame that satisfies Equation 7.
Select only video signal. (Equation 7) Wx, y= W0・ Z / L where W0: Initial setting The skin color detecting circuit 101 is provided with a window generating circuit 93.
Only the flesh color area within the image frame determined by is detected. So
Therefore, as shown in FIG.x, yOut of frame
If there is a subject at the position, the skin color area is not detected. FIG. 70 is a flow chart of the present embodiment.
Shows the algorithm in the microcomputer 31
You. The flowchart of FIG. 70 is the same as that of the forty-fifth embodiment.
The description is omitted. Output from microcomputer 31
FIG. 88 shows the “recording stop signal” output to terminal 80.
Picture frame W shownx, yStop recording when there is no skin color area in
You. (Embodiment 56) FIG. 90 shows a color video camera.
FIG. 55 is a block diagram illustrating a configuration of a camera (Embodiment 56).
In FIG. 90, portions denoted by the same reference numerals as in FIGS. 71 and 87 are the same as those in FIGS.
Show one or equivalent part. Next, the operation will be described.
You. As in the fifty-fifth embodiment, the skin color detection circuit 101
x, yThe presence or absence of a flesh-colored area is detected within. And figure
According to the flowchart of 72, this frame Wx, yVideo inside
If there is no skin color area in the signal, the
The following operation is the same as in the forty-sixth embodiment.
is there. (Embodiment 57) FIG. 91 shows a color video camera.
FIG. 55 is a block diagram illustrating a configuration of a camera (Embodiment 57);
In FIG. 91, the portions denoted by the same reference numerals as in FIGS.
Show one or equivalent part. Next, the operation will be described.
You. As in the fifty-fifth embodiment, the skin color detection circuit 101
x, yThe presence or absence of a flesh-colored area is detected within. And figure
According to the flowchart of 72, this frame Wx, yVideo inside
If there is no skin color area in the signal, the buzzer
The following operation is performed in the same manner as in the forty-seventh embodiment.
Is the same. (Embodiment 58) FIG. 92 shows a color video camera.
108 is a block diagram illustrating a configuration of a camera (Embodiment 58).
In FIG. 92, portions denoted by the same reference numerals as in FIGS. 74 and 87 are the same as those in FIGS.
Show one or equivalent part. Next, the operation will be described.
You. As in the fifty-fifth embodiment, the skin color detection circuit 101
x, yThe presence or absence of a flesh-colored area is detected within. And figure
According to the flowchart of 72, this frame Wx, yVideo inside
If there is no skin color area in the signal,
The following operation is the same as in the forty-eighth embodiment.
is there. (Embodiment 59) FIG. 93 shows a color video camera.
108 is a block diagram illustrating a configuration of a camera (Embodiment 59).
In FIG. 93, portions denoted by the same reference numerals as in FIGS. 77 and 87 are the same.
Show one or equivalent part. Next, the operation will be described.
You. As in the fifty-fifth embodiment, the skin color detection circuit 101
x, yThe presence or absence of a flesh-colored area is detected within. And figure
According to the flowchart of 72, this frame Wx, yVideo inside
If there is no skin tone area in the signal, the control signal
The “wrong recording signal” is output to the road 186. The following operations are
This is the same as Embodiment 49. In the above embodiments 49, 54 and 59,
The output signal of the encoder 171 is output from the luminance signal processing circuit 174 to the H level.
The signal processing of the luminance signal is performed via the PF 176 and the ACC 17
Signal processing of color difference signal was performed from 7 through LPF180
However, the circuit configuration in the above circuit is different from the other signal processing circuit configuration.
It may be. In these embodiments,
Although the example using the VISS signal as the detection signal is shown,
An ASS signal or a head signal of a deep recording method,
Needless to say, the same effect can be obtained. In the above embodiments 45 to 59, the skin color area
As means for detecting the area, the skin color detection of the configuration of the second embodiment is used.
The output circuit 101 is used, but the skin color shown in the third and fourth embodiments is used.
A detection circuit may be used. Furthermore, such a look
The color difference signal can be converted to multiple
The skin color area is detected by the
Is also good. Next, a human face is determined from the detected skin color area.
Are described as the following embodiments 60 to 67.
You. (Embodiment 60) FIG. 94 shows a video signal according to the present invention.
Block diagram showing the configuration of a signal processing device (Embodiment 60).
In FIG. 94, the same reference numerals as in FIG. 54 denote the same parts.
Show one or equivalent part. In FIG. 94, 95 is the correlation.
It is a value calculation circuit. FIG. 95 shows a specific configuration example of the correlation value calculation circuit 95.
Shown in In FIG. 95, reference numeral 210 denotes a horizontal range X.
Input terminal for input from the black computer 31, 211 is flesh color
An input terminal for inputting the output signal of the detection circuit 101, and 212 is
Input terminal for inputting constant value K from microcomputer 31
Child, 213 is an address generation circuit, 214 and 215 are memories, 216
Is an EXOR element, 217 is a counter, 218 is a comparator, 219
Is output from the data generation circuit, 220 is output from the data generation circuit 219
Output terminal for outputting the output signal to the microcomputer 31
I am a child. Next, the operation will be described. focus
Area setting, skin color area detection by skin color detection circuit 101, etc.
Is the same as that of each of the embodiments described above.
Therefore, the description is omitted. The following describes the face discrimination operation.
Will be explained. The flowchart of FIG.
The computer 31 determines the area of the human face from the video signal.
The algorithm for this is shown. The flow chart of FIG.
Explanation is given along the chart. First, the microcomputer 31 determines the predetermined value K
Is output to the correlation value calculation circuit 95 (step S21). next
The microcomputer 31 includes a zoom lens 44 and a focus lens.
The zoom lens is obtained from the control signal output to the cas lens 21.
Calculate the position of 44 and the focus lens 21 to reach the subject
The distance L and the zoom position Z are calculated (step S22,
S23). Microcomputer 31 reaches the calculated subject
According to the distance L and the zoom position Z of FIG.
Determine the horizontal range X for detecting the width of a human face as shown
(Step S24). Where Z is the zoom position at the wide end
Assuming that the position is ZW and the zoom position at the telephoto end is ZT, Z
W ≤ Z ≤ ZT, and from the image at the position of ZW
It shall be proportional to the magnification. Xk is the zoom lens 44
When the zoom position is at the wide end, the distance L to the subject is predetermined.
Horizontal level of a standard human face at the specified reference distance
It is the size of the direction. (Equation 8) X = Xk (Z / L) Determined by the microcomputer 31
Horizontal range X is correlated from microcomputer 31
It is output to the value calculation circuit 95 (step S24). Water output from microcomputer 31
The horizontal range X is input from the input terminal 210 to the memory 214.
Is done. The memory 214 stores data as shown in FIG.
It is stored as a table. Here, XW is a predetermined value.
One frame represents one pixel, and the hatched area is
“0” and other areas are “1”. Memory 214 is input
LUT (look-up) according to the horizontal range X
Table) to output data as shown in Fig. 97.
Power. The signal output from the skin color detection circuit 101 is
Input to the memory 215, the memory 215 stores one field of skin
The color area is stored. The signal output from the skin color detection circuit 101
The signal is the detected skin color area (hatched area) as shown in Fig. 17 (a).
Area) is “1”, and other areas are “0”.
is there. The address generation circuit 213 is set in advance as shown in FIG.
The output of the skin color detection circuit 101 at the detected detection points X1 to Xn
Signals are output to memory 215 so that signals are output from memory 215.
Output the dress. FIG. 99 shows specific detection points for calculating the correlation value.
Shown in Memory 215 is the detection location X1, 1~ X5,5Smell
The stored output signals of the skin color detection circuit 101
Output. Further, the address generation circuit 213 is
To the signal at the detection point sequentially output from the memory 215.
In addition, the range XW for detecting a human face from the memory 214 is repeated.
Output the address as if it were to be output repeatedly. Memory 214
According to the address, the range defined in the horizontal direction shown in FIG. 97.
Data for one detection range (Xi, j) Repeat every time
Power. In the case of the detection location shown in FIG. 99, Xw = 250.
You. What is the output signal of the memory 214 and the output signal of the memory 215?
Output to the counter 217 via the EXOR element 216,
The counter 217 integrates by the width of Xw to calculate the correlation value S.
Put out. Equation 9 shows the correlation equation. This exclusive OR is shown in FIG.
At the detection points shown in Fig. 100,
From left to right (X1,1X1,2... X1,5X2,1
X2,2... X5,4X5,5). Defined horizontal direction shown in Fig. 97
The correlation between the direction range and the range in the horizontal direction of the skin color area is high.
The larger the correlation value S represented by the equation (9), the larger the value. counter
217, the correlation value S of each detection point calculated by
Are sequentially output to the comparator 218. (Equation 9) S = ΣEXOR (i, j) where EXOR: exclusive
Logical sum The comparator 218 outputs the output signal S of the counter 217 and
Comparison of the predetermined value K input from the microcomputer 31
And the correlation value S is input from the microcomputer 31.
When the value is larger than the predetermined value K, a "High" signal is
Output to road 219. The data generation circuit 219
Data on the center position and size of the human face according to the output signal
Is output to the microcomputer 31. For example, FIG. 17 (b)
Is input to the correlation value calculation circuit 95, and FIG.
X shown2,1And X2,2Output signal of comparator 218
Signal was “High” and all other detection points were “Low”
Then, the data generation circuit 219 becomes a human as shown in FIG.
R (x, y), which represents the center of the face, and the size of the person's face
Output r representing. The microcomputer 31 calculates the correlation value
The output signal of the output circuit 95 is input (step S25).
The region of the video signal represented by the extracted data is a human face
It is determined (step S26). The signal processing loop (S22 to S26) is
Repeat every field or every few fields. In addition,
The memory 214 used in the correlation value calculation circuit 95
Determined by the distance L to the body and the zoom position Z of the zoom lens
Hatched area in the horizontal range
Is a signal that outputs a signal that is “1” and the other area is “0”.
It can also be realized with a road configuration. In addition, the method of obtaining the correlation value
For, use a predetermined detection location to calculate the correlation.
As shown in Fig. 102, the correlation values are from left to right and top to bottom.
Needless to say, it can be realized even if it is requested. Also,
Fig. 96 shows a specific example of the detection location for finding the correlation value.
The location is not limited to this. (Embodiment 61) In Embodiment 60 described above.
Identifies human faces based on the correlation value in the horizontal direction.
However, human faces are identified based on correlation values in the vertical range.
Can be done in a similar manner. An example of such an implementation
It is state 61. Including the correlation value calculation circuit 95 of the embodiment 61
The circuit configuration is the same as that of the embodiment 60. The operation of the sixty-first embodiment is the same as that of the sixty-first embodiment.
It is considered the same as FIG. 103 showing the operation of the embodiment 61.
In the flowchart of the vertical direction to detect the width of the human face
Is determined according to equation 10 (step S27). Yk
Indicates that the zoom position of the zoom lens 44 is
Distance L is a standard value at a predetermined reference distance.
The vertical size of a person's face. (Equation 10) Y = YK · (Z / L) The output from the microcomputer 31
The range Y in the direct direction is input from the input terminal 210 to the memory 214.
Is done. The memory 214 stores data as shown in FIG.
Stored as a table. Address generation circuit 213
Are predetermined detection points Y1 to Y as shown in FIG.
The output signal of the skin color detection circuit 101 of n is output from the memory 215.
The address is output to the memory 215 so as to perform the operation. Fig. 106
At the detection point as shown in FIG.
Is calculated. In the case of the detection location shown in FIG. 106, Yw = 100
It is. This logical disjunction corresponds to the detection location shown in FIG.
107, sequentially from top to bottom, from left to right, as shown in FIG.
To (Y1,1Y1,2... Y1,8Y2,1Y 2,2... Y5,7Y
5,8). When the correlation value S is larger than the predetermined value K,
It is determined that the face is a human face. Note that the detection locations are shown in FIG.
As shown in the figure, the correlation value is calculated in order from top to bottom and from left to right.
You may. (Embodiment 62) Correlation calculation according to embodiment 62
The circuit configuration including the output circuit 95 is the same as that of the embodiment 60.
You. The flowchart of FIG.
The computer 31 detects the area of the human face from the video signal.
FIG. Below
This will be described along the flowchart of 109. First, the microcomputer 31 sets the predetermined value K
Is output to the correlation value calculation circuit 95 (step S31). next
The microcomputer 31 calculates the distance L to the subject and the zoom.
Is calculated (steps S32 and S33). Microphone
The computer 9 calculates the distance L and the zoom position Z
Accordingly, the width of the human face as shown in FIG.
The output range RA is determined (step S34). Rk is Zoo
When the zoom position of the lens 44 is at the wide end, the distance to the subject L
Is a standard human face at a predetermined reference distance
Is the size of (Equation 11) RA = Rk · (Z / L) Determined by the microcomputer 31
The range RA is calculated by the microcomputer 31 when the correlation value is calculated.
It is output to the road 95 (step S34). Microcomputer
The range R output from the data 31
Is input to the file 214. The memory 214 stores the area R shown in FIG.
And RA are stored as a data table. memory
According to the data in 214, the area of RA is input from the input terminal 210.
It changes according to the input data. Where XW and YW
Is a predetermined value, one frame represents one pixel, and hatching is
The attached area is “0”, and the other areas are “1”. Note
The LUT 214 looks up the LUT (lookup) according to the input range RA.
The data shown in Fig.
Output data. FIG. 11 shows specific detection points for calculating the correlation value.
1, 112. Area P is a detection location for one field.
You. The signal output from the skin color detection circuit 101 is stored in the memory 215
And the memory 215 stores one file as shown in FIG.
Field is stored. Address generation circuit 213
Is a predetermined detection point P (x +
i, y + i), the output signal of the flesh color detection circuit 101 is
Address to memory 215 like output from memory 215
Output. The address generating circuit 213 has a memory 214
To the signal at the detection point sequentially output from the memory 215.
The range R for detecting a human face from the memory 214 is repeated.
Output addresses as if they were returned. Memory 214
According to the address, the data in the specified range shown in Fig. 110
For one detection range R (R ′ (x, y) to R ′ (x + i,
y + i)) is repeatedly output every time. Output signal of memory 214
Signal and the output signal of the memory 215 via the EXOR element 216
Is output to the counter 217, and one detection range (R '
(X, y) to R '(x + i, y + i)) integrated and correlated
The value S is determined. Equation 12 shows the correlation equation. This exclusive theory
At the detection points shown in FIGS. 111 and 112,
As shown, from top to bottom, left to right, or FIG.
As shown in Fig. 4, the values are calculated from left to right and top to bottom. Figure
The correlation between the range defined by 110 and one detection point R is high.
As the value becomes smaller, the correlation value S represented by Expression 12 becomes larger. Cow
Of each detection point calculated by the counter 217
The value S is sequentially output to the comparator 218. (Equation 12) S = ΣEXOR (P (i, j), R (i, j)) EXOR: Exclusive OR The comparator 218 outputs the output signal S of the counter 217 and
The value is compared with a predetermined value K input from the microcomputer 31.
And the correlation value S is input from the microcomputer 31.
Generates a "High" signal when the value is larger than the predetermined value K
Output to the circuit 219. The data generation circuit 219 is a comparator 218
Of the center position and size of the human face according to the output signal
Output to the microcomputer 31. Microcomputer 31 is a correlation value calculating circuit
95 output signal (step S35), and
The area of the video signal represented by the data is identified as a human face.
(Step S36). Such a signal processing loop (S
32 to S36) are repeated every several fields. (Embodiment 63) FIG. 115 shows an image of the present invention.
FIG. 28 is a block diagram illustrating a configuration of a signal processing device (Embodiment 63).
In FIG. 115, the same reference numerals as in FIG.
Indicates the same or corresponding parts. Out of the skin color detection circuit 101
The applied flesh color detection signal is one field by the memory 351.
Is memorized. Memory storing one field of skin color area
351 is controlled by microcomputer 31 and
Data of the extracted flesh-tone area to the microcomputer 31
I do. In the embodiment 63, the microcomputer 31
To detect a human face in the skin color area
The length is determined in advance and detected by the flesh color detection circuit 101.
When the skin color area meets the shape of the above figure, or
The size of the two-dimensional area of the color area, the horizontal and vertical lengths are
This skin color area when a predetermined value is satisfied
Is determined to be a human face. The above figures, ranges and lengths
The size changes according to the distance L and the zoom position Z. In the embodiments 60, 61 and 62, the skin color area is
To determine whether the specified shape is satisfied,
A function value calculation circuit 95 is provided to convert a skin color area into a predetermined figure.
Takes a correlation, calculates a correlation value, and determines the calculated correlation value
When the value was larger than the value, the skin color area was determined to be a human face. The method for discriminating a human face from a skin color area is described above.
It is not limited to the method described above. For example, R1, R shown in FIG.
The size of the skin color area of R2 and R3 is the microcomputer 31
If it falls within the shaded area shown in FIG.
Judge as a human face. Therefore, the skin color area shown in FIG.
When issued, the skin color area of R1 is identified as a human face
You. Flowchart of the present embodiment realizing the above method
Is shown in FIG. The flowchart of FIG. 116 will be described.
You. First, the microcomputer 9 determines the distance to the subject.
The separation L and the zoom position Z are calculated (steps S41 and S4).
2). The coefficient R that satisfies Equation 13 is determined according to the result obtained.
(Step S43). RW is the zoom of the zoom lens 44
When the position is at the wide end ZW, the distance L to the subject is predicted.
The size of a standard human face at a specified reference distance
Is the size. (Equation 13) R = RW · (Z / L) Next, g and h in FIG.
A small area RS and a large area RB are shown. R S,
RB is obtained by Expressions 14 and 15 (Step S4).
Four). (Equation 14) R S = k 1 · R where k 1 <1 (Equation 15) RB = k2 · R where k2> 1 The skin color detected by the skin color detection circuit 101
If the size of the region RC satisfies Equation 16, RC is
It is a face (step S46). Also, if equation 16 is not satisfied
If not, it is determined that RC is not a human face (step S4).
7). (Equation 16) RS <RC <RB Next, the two-dimensional size of the skin color area or
Recognize human faces based on horizontal and vertical size of skin color area
The procedure for this is shown in the flowchart of FIG. Fig. 118 Odor
The same processes as those in FIG. 116 are denoted by the same step numbers.
I have. Equation 17 is obtained according to the obtained distance L and the zoom position Z.
Is determined (step S53). KW is Zoo
When the zoom position of the zoom lens 44 is at the wide end ZW.
The distance L from the object is at a predetermined reference distance.
This is a constant for the standard human face size. (Equation 17) K = KW · (Z / L) Next, KS and KB are obtained by equations (18) and (19).
S54). (Equation 18) KS = k1 · K where k1 <1 (Equation 19) KB = k2 · K where k2> 1 The skin color detected by the skin color detection circuit 101
The size Kc of the two-dimensional area is shown in FIG.
From the integrated values of the skin color regions R1, R2, and R3. this
If the integrated value satisfies Equation 20, KC is a human face (S
Step S56). If Equation 20 is not satisfied, KC is
It is determined that the face is not a human face (step S57). (Equation 20) KS <KC <KB (Embodiment 64) Circuit Configuration of Embodiment 64
Is the same as that in the embodiment 63 (FIG. 115). Shown in Figure 119
The distance to the subject by the microcomputer 31
Value w according toNAnd wW(WN<WW) Is set. Figure
The hatched area shown in Fig. 120 shows the subject in Fig. 16.
This is the output of the skin color detection circuit 101 in the case of shadowing, as shown in FIG.
Is the same as The microcomputer 31 is shown in FIG.
Detected by the flesh color detection circuit 101
Horizontal value (size) w of flesh color area1Is wW> W 1>
wNIs satisfied, this skin color area is regarded as a human face
To judge. On the other hand, the skin color detection circuit 101
W detected as a color areaTwoAnd wThreeMeets the above conditions
Microcomputer 31 is a human face
Is not detected. Note that wNAnd wWIs the distance L to the subject
Becomes smaller (closer), the distance to the subject increases
To become smaller as the distance increases, and
When the large magnification becomes large, wWAnd wNThe difference between
If the magnification range is large,
Set the range to be small. (Embodiment 65) Circuit configuration of embodiment 65
Is the same as that in the embodiment 63 (FIG. 115). Microcon
In accordance with the distance to the subject,
As shown, wH1, WH2(WH1<WH2)The value of the
To wV1, WV2(WV1<WV2)
Set. As shown in FIG. 122, the skin color detection circuit 101
Horizontal value (size) w of the flesh color area detected0
And the vertical value w1But wH2> W0> WH1And wV2
> W1> WV1If the condition is satisfied, the microcomputer 31
The skin color area detected by the skin color detection circuit 101 is represented by a human face.
It is determined that there is. Note that wH1, WH2(WH1<WH2)as well as
wV1, WV2(WV1<WV2) Indicates that the distance to the subject is short.
The distance to the subject is far so that
The smaller the size, the larger the magnification
When it comesH2And wH1And w V2And wV1Difference, ie
The range specified by both is large, and conversely the magnification is
Make settings so that the above range becomes smaller as the size decreases.
You. (Embodiment 66) Circuit configuration of embodiment 66
Is the same as that in the embodiment 63 (FIG. 115). Microcon
According to the distance to the subject calculated by pewter 31
As shown in FIG. 117 with hatching,
A detection range of a predetermined size is set. Also,
Depending on the distance to the subject, it is indicated by reference numeral i in FIG.
Set an image frame with a predetermined size
You. Then, the skin color area detected by the skin color detection circuit 101
The region is within the frame i shown in FIG.
The range for detecting the human face indicated by hatching in Fig. 117
If the relationship with the box satisfies the same conditions as in Embodiment 63,
The black computer 31 determines that it is a human face
You. [0298] The picture frame i shown in FIG.
It increases as the distance to the body decreases,
So that it becomes smaller as the distance
When the large magnification becomes large, it is indicated by hatching in Fig. 117.
Range increases, and as the magnification decreases, the range
Set so that the surrounding area is also small. (Embodiment 67) Circuit configuration of embodiment 67
Is the same as that in the embodiment 63 (FIG. 115). Microcon
According to the distance to the subject calculated by pewter 31
As shown in FIG. 117 with hatching,
A detection range of a predetermined size is set. And
The microcomputer 31 is detected by the skin color detection circuit 101.
Hatching is shown in Fig. 117 from among the multiple skin color regions
The relationship with the range of human face detection indicated in
And the size of the skin color area and the human face
Skin color areas that have a high correlation with the detection range are human faces
Is determined. For example, when the skin color detection circuit 101 detects
The value of the flesh-colored area is also set to 1 within the range in which a human face is detected.
And 0 outside the above range. And micro compilation
As shown in FIG. 124, the computer 31
The value of S in Equation 21 is obtained by using
The region is determined to be a human face. (Equation 21) S = Σwx, y・ WH, V Where wx, y: Skin color area wH, V: Range for detecting human face It should be noted that the above equation for calculating the correlation 21 is not limited to this.
Instead, other expressions may be used. The hatching in Fig. 117
The range for detecting the face of the person shown is the distance to the subject
Increases as the distance decreases, and the distance to the subject increases.
The larger the magnification, the smaller the size
When the magnification becomes smaller, it becomes smaller.
Set to As described above, in Embodiments 60 to 67,
The size of the subject with a simple circuit configuration,Related to the distance to the subject
However, the face of the person who is the main subject from the detected skin color area
Can be accurately determined. Next, as described above, the detected skin color area
From the human face area, the luminance signal,
Gain of color difference signal, aperture correction signal, aperture correction
An example in which the frequency characteristic of a signal is changed is described in the following embodiment.
This will be described at 68 to 72. (Embodiment 68) FIG. 125 shows a video signal of the present invention.
Block diagram showing the configuration of a signal processing device (Embodiment 68).
In FIG. 125, the same reference numerals as in FIG. 94 denote the same parts.
Show one or equivalent part. In FIG. 125, 96 is slow.
Extension circuit, 97 is data select circuit, 111 and 112 are gain control
Circuit. Next, the operation will be described. focus
The setting of the area, the control of the zoom lens 44, etc. are performed as described above.
This is the same as the embodiment. Also, the skin color detection circuit 101
The skin color area is detected from the signal and the correlation value calculation circuit 95 and the microphone
The computer 31 determines the human face from the detected skin color area.
Separate. The operation up to this point is the same as that of the embodiment 60. [0307] The microcomputer 31 stores the identified person.
Data indicating the center position of the face area and the size of the face
Output to the data select circuit 97. Data select circuit 97
In the skin color detection signal output from the skin color detection circuit 101,
According to the above data input from the micro computer 31,
Gain control circuit 111, only the skin color area determined to be a human face
The gate is applied so as to be output to the gain control circuit 112. Ma
In addition, the luminance signal output from the signal processing circuit 26, RY color
The difference signal and the BY color difference signal are output to the delay circuit 96. Late
The extension circuit 96 includes the correlation value calculation circuit 95 and the microcomputer.
Enter the amount of time it takes for the
The luminance signal, the RY color difference signal, and the BY color difference signal.
Extend. The gain control circuit 111 has a data select circuit 97
RY color difference signal according to the human face detection signal input from
The gain control circuit 112 increases the gain of the human face detection signal.
, The gain of the BY color difference signal is reduced. According to the above method
Therefore, the gain of the color difference signal is changed only in the area of the human face, as shown in FIG.
Only the color difference signal of the flesh color area of the human face is
Linear conversion is possible. Therefore, the skin color of a person's face
Based on memory color without affecting the color of the area
Corrections can be made. In the above-described embodiment, the embodiment
2 uses the skin color detection circuit 101,
The skin color detection circuit 201 (shown in FIG. 18) in the state 3 is used.
You may do it. In this case, the output signal of the comparator 106
Is output to the correlation value calculation circuit 95 as a signal for determining a human face.
And the output signal of the slice circuit 109 is used as a skin color detection signal.
Output to the data select circuit 97. This way,
The color of the border between the skin color area (human face area) and other areas
Correction is performed smoothly. (Embodiment 69) FIG. 126 shows a video signal of the present invention.
Block diagram showing the configuration of a signal processing device (Embodiment 69).
In FIG. 126, the parts with the same numbers as those in FIG.
Indicates the same or corresponding parts. In FIG. 126, 115
Is a gain control circuit. Next, the operation will be described.
As in the embodiment 68, the data select circuit 97
Among the skin color detection signals output from the detection circuit 101,
Only the determined skin color region is output to the gain control circuit 115.
Gate as if Also, it is output from the signal processing circuit 26.
The input luminance signal, RY color difference signal, and BY color difference signal
Output to the delay circuit 96. The gain control circuit 115
In response to the human face detection signal input from the rect circuit 97,
The gain of the luminance signal delayed by the delay circuit 96 is increased. This
This makes it possible to increase the brightness only in the human face area.
You. (Embodiment 70) FIG. 127 shows a video signal of the present invention.
Block diagram showing the configuration of a signal processing device (Embodiment 70).
In FIG. 127, the parts with the same numbers as those in FIG.
Indicates the same or corresponding parts. In FIG. 127, 190
Is an aperture creation circuit, 118 is a gain control circuit, 98 is an addition
It is a vessel. Figure 128 shows the configuration of the aperture creation circuit 190.
You. In FIG. 128, 310 is a luminance signal input terminal, 311 and 3
12 is one line memory, 313 is input from input terminal 310
Luminance signal and two lines output from the one-line memory 312.
The adder 314 adds the luminance signal delayed by the
Bandpass filter that determines the frequency characteristics of the aperture, 31
5 is gain control circuit, 316 is adder, 317 is aperture signal
Signal output terminal. Next, the operation will be described. Aperture
The luminance input from the luminance signal input terminal 310 of the circuit 190
The signal is delayed by adder 313 for two horizontal scanning periods.
It is added to the degree signal. The luminance signal output from adder 313
Signal was delayed by one horizontal scan period by adder 316
The output signal of the adder 313 is subtracted from the luminance signal,
A search direction aperture correction signal is formed. Also one line
Output signal of memory 311 is output to bandpass filter 314
Is done. The band pass filter 314 is defined in the horizontal direction.
Frequency components extracted by the gain control circuit 315.
To form an aperture correction signal in the horizontal scanning direction.
You. The aperture correction signal in the horizontal scanning direction is supplied to the adder 316.
Therefore, it is added to the aperture correction signal in the vertical scanning direction,
The signal is output to the delay circuit 96 from the aperture signal output terminal. Profit
The gain control circuit 118 controls the aperture output from the delay circuit 96.
The gain of the correction signal is controlled. After the gain control, the adder 98
Are added to the aperture correction signal and the luminance signal. Of implementation
As in the embodiment 68, the data select circuit 97 outputs
In the skin color detection signal output from the road 101,
So that only the shaded skin color region is output to the gain control circuit 118.
Gate to. Gain control circuit 118 is data select
In response to the human face detection signal input from the circuit 97, the delay time
Reduce the gain of the aperture correction signal delayed in path 96
You. As a result, the aperture correction signal is applied only to the human face area.
Wrinkles, breakouts emphasized by lowering the gain of the signal
Looks like it has been removed. (Embodiment 71) FIG. 129 shows a video signal according to the present invention.
Block diagram showing the configuration of a signal processing device (Embodiment 71).
In FIG. 129, the parts with the same numbers as those in FIG.
Indicates the same or corresponding parts. Also, in FIG.
Is an aperture creation circuit, 191 is an adder, 192 is a low-pass
A filter (LPF) 193 is a mixing circuit. Next,
The work will be described. The aperture creation circuit 190
Signal from the signal and output to adder 191
I do. The adder 191 generates an aperture correction signal and a luminance signal.
And outputs the result to the delay circuit 96. LPF192
The high frequency component of the signal is removed and output to the mixing circuit 193.
The mixing circuit 193 is based on the signal from the data selection circuit 97.
The output of the LPF and the delay time
Mix with the output of path 96. As in the embodiment 68, the data
The data selection circuit 97 outputs the signal output from the skin color detection circuit 101.
In the skin color detection signal, only the skin color areas determined to be human faces are mixed.
The gate is applied so as to be output to the combined circuit 193. Soshi
Input signal to the mixing circuit 193.
The delay circuit increases the gain of the LPF192 output signal.
Lower the gain of the output signal from 96 and mix both signals.
In this way, the luminance signal is obtained only for the human face area.
, The gain of the high frequency component can be reduced. (Embodiment 72) FIG. 130 shows a video signal of the present invention.
Block diagram showing the configuration of a signal processing device (Embodiment 72).
In FIG. 130, the parts with the same numbers as those in FIG.
Indicates the same or corresponding parts. Also, in FIG.
Is an aperture correction circuit, and 194 is an adder. Aperch
Aperture correction circuit that changes the frequency characteristics of the
The internal configuration of the road 120 is the same as that shown in FIG. Next, the operation will be described. Embodiment
Similarly to 68, the data select circuit 97 is
1 was identified as a human face in the skin tone detection signal output from
Only the skin color area is output to the aperture correction circuit 120.
Put the gate. And the skin color detection signal
Signal is input to the aperture correction circuit 120, the aperture
The frequency characteristic of the correction signal is changed. by this,
Frequency characteristics of aperture correction signal only in human skin color area
Can be changed. Therefore, the signal processing of the camera
To get natural wrinkles instead of unnaturally emphasized wrinkles
Is possible. Next, the human face is determined from the detected skin color area.
Auto focus according to the area of the face of the person
Area setting or iris control, automatic gain control,
An example of setting the photometry area such as the automatic shutter is shown below.
This will be described in Embodiments 73 to 94. (Embodiment 73) FIG. 131 shows a video signal of the present invention.
FIG. 47 is a block diagram illustrating a configuration of a signal processing device (the seventy-third embodiment).
In FIG. 131, portions denoted by the same reference numerals as those in FIG. 94 are the same.
Show one or equivalent part. Next, the operation will be described.
You. The size of the skin color area detected by the skin color detection circuit 101
According to the embodiment 62, the region of the human face is determined.
Separated. The microcomputer 31 is a human face
Skin color area detected by auto focus control
Control the window generation circuit 27 so that it becomes an area
Output a signal. The window generation circuit 27 is a skin color detection circuit 10
The skin color detection signal input from
Only the human face area is controlled by the control signal given from 31.
Output to the data selector circuit 28 as a window pulse
You. Through such processing, the person who is the main subject
Face becomes focus area for autofocus
Therefore, an optimal image always focused on the face of the person can be obtained. (Embodiment 74) FIG. 132 shows a video signal of the present invention.
Block diagram showing the configuration of a signal processing device (Embodiment 74).
In FIG. 132, the same numbers as those in FIGS. 36 and 115 are used.
Parts indicate the same or corresponding parts. Next, about operation
explain. The basic control of the iris 39
The description is omitted because it is the same as in the embodiment 22. Embodiment
Like 73, the microcomputer 31
And the skin color area detected as a human face is
Wind generation circuit so that it becomes the photometric area of Iris 39
Outputs a control signal to 27. The window generation circuit 27
The skin color detection signal input from the skin color detection circuit 101 is
Control signal given from the computer 31
Only the face area as a window pulse is used as a data selector
Output to the road 28. By such processing, the main subject
Is the photometric area for iris control.
As a result, an optimal image focused on the face of the person
You. (Embodiment 75) FIG. 133 shows a video signal of the present invention.
Block diagram showing the configuration of a signal processing device (Embodiment 75).
In FIG. 133, the same numbers as those in FIGS. 37 and 115 are used.
Parts indicate the same or corresponding parts. Next, about operation
explain. For basic control of automatic gain of video signal,
Since it is the same as the twenty-third embodiment, its description is omitted. Real
As in the embodiment 73, the microcomputer 31
Skin color detected as a human face by determining the area of the face
Start the window so that the area becomes the photometric area of AGC24.
A control signal is output to the raw circuit 27. Such processing
The main subject, the face of the person,
Metering area for the human face.
An image for which an appropriate gain control is performed is obtained. (Embodiment 76) FIG. 134 shows a video signal of the present invention.
Block diagram showing the configuration of a signal processing device (Embodiment 76).
In FIG. 134, the same reference numerals as those in FIGS. 38 and 115 are used.
Parts indicate the same or corresponding parts. Next, about operation
explain. Basic control of automatic shutter speed adjustment
The description is omitted because it is similar to that of the twenty-fourth embodiment.
You. Similarly to the embodiment 73, the microcomputer 31
Determines the area of the human face and detects it as a human face.
Flesh color area is used for automatic electronic shutter speed adjustment
The window generation circuit 27 is
Outputs control signal. By such processing, the main
Automatically adjust the electronic shutter speed
Metering area for the human face.
An image for which appropriate exposure control is performed is obtained. (Embodiment 77) FIG. 135 shows a video signal of the present invention.
Block diagram showing the configuration of a signal processing device (Embodiment 77).
In FIG. 135, portions denoted by the same reference numerals as those in FIG.
Indicates the same or corresponding parts. In FIG. 135, 195
Is a low pass filter (LPF), 352 is a slice circuit
is there. Next, the operation will be described. Skin color detection times
The skin color detection signal output from the road 101 is used as a correlation value calculation circuit 95.
And LPF195. Output to correlation value calculation circuit 95
A human face is extracted from the detected skin color detection signal according to the embodiment 62.
Is detected. FIG. 136 (a) shows the result of the skin color detection circuit 101.
FIG. 136 (b) is a waveform diagram showing the detected signal, and FIG.
Wave of output signal after signal (a) passed through LPF 195
FIG. FIG. 136 (b) output from the LPF 195 is shown.
The signal is input to the slice circuit 352. Slice circuit 35
2 is the threshold THf input from the microcomputer 31
Therefore, the input signal is sliced. LPF195 and
The slice circuit 352 operates similarly in the vertical scanning direction.
The skin color of the signal smaller than the threshold value THf in the signal of FIG. 136 (b)
The area is a detection area of the auto focus control. Up
The autofocus control detection area that satisfies the above conditions is shown in the figure.
137 is the range within the frame indicated by reference numeral e.
In FIG. 137, the hatched area is the skin color detection circuit.
The output result of 101 is shown. The threshold value THf is different from the distance to the subject.
It changes according to the magnification. When the distance to the subject is far
In this case, the threshold value THf is large, and the distance to the subject is short.
Is smaller than the threshold value THf. Also, when the magnification becomes small, the threshold
The value THf becomes large, and as the magnification increases, the threshold value THf becomes
Become small. 138 and FIG. 139, designated by reference numeral e.
Area indicates the detection area of the auto focus control.
FIG. The area indicated by reference numeral e in FIG.
Focus area when the distance to the subject is long
139, the area indicated by reference numeral e is the subject.
This is a focus area when the distance to is short. this
Autofocus control is performed by such an area.
The following operation is the same as that of the seventy-third embodiment. (Embodiment 78) FIG. 140 shows a video signal of the present invention.
Block diagram showing the configuration of a signal processing device (Embodiment 78).
In FIG. 140, the parts with the same numbers as those in FIG.
Indicates the same or corresponding parts. In FIG. 140, 195
Is a low pass filter (LPF), 352 is a slice circuit
is there. Next, the operation will be described. Fig. 136 (b)
In the signal, the skin color area of the signal larger than the threshold
The squirrel photometry area. The above area corresponds to f shown in FIG.
Area within the frame. In addition, the above threshold THe is
It changes according to the distance and the zoom position. To the subject
If the distance is long, the value THe will be small, and the distance to the subject will be small.
When the separation is near, the threshold value THe becomes large. Small magnification
The threshold value THe becomes smaller, and as the magnification increases, the threshold value becomes smaller.
The value THe becomes large. Reference numerals f in FIGS. 141 and 142
The area shown is the photometric area of the iris.
is there. In FIG. 141, the area indicated by reference numeral f
This is the photometry area when the distance to the body is long, and
In the area indicated by reference numeral f, the distance to the subject is
This is a photometric area when the distance is close. The following operation is an embodiment
Same as 74. (Embodiment 79) FIG. 143 shows a video signal according to the present invention.
Block diagram showing the configuration of a signal processing device (Embodiment 79).
In FIG. 143, the parts with the same numbers as those in FIG.
Indicates the same or corresponding parts. Also, in FIG.
Is a low pass filter (LPF), 352 is a slice circuit
is there. Next, the operation will be described. The signal shown in Fig. 136 (b)
In the flesh color region of the signal larger than the threshold value THe
It is your photometric area. The above area corresponds to the area f shown in FIG.
This is the area within the frame. Is the distance to the subject long or the magnification
When is small, the value THe becomes small, as shown in Fig. 141.
The photometric area is like that and the distance to the subject is short or enlarged
When the magnification is large, the threshold value THe increases, and FIG.
The photometric area is as shown. The following operation is an embodiment
Same as 75. (Embodiment 80) FIG. 144 shows a video signal of the present invention.
Block diagram showing the configuration of a signal processing device (Embodiment 80).
In FIG. 144, the same reference numerals as in FIG.
Indicates the same or corresponding parts. In FIG. 144, 195
Is a low pass filter (LPF), 352 is a slice circuit
is there. Next, the operation will be described. The signal shown in Fig. 136 (b)
In this case, the skin color area of the signal larger than the threshold
It is a photometry area for shutter speed adjustment. The above area is
This is the area within the frame f shown in FIG. Distance to subject
If the distance is too far or the magnification is small, the value THe will be small.
The photometry area as shown in Fig. 141
When the distance is short or the magnification is large, the threshold value THe is large.
Thus, a photometric area as shown in FIG. 142 is obtained. below
The operation is the same as that of the embodiment 76. (Embodiment 81) The configuration of the embodiment 81 is actually
This is the same as Embodiment 73 (FIG. 131). Next, about operation
explain. FIG. 145 (a) shows the state detected by the skin color detection circuit 101.
FIG. 4 is a waveform diagram of a signal generated by the present invention. Microcomputer 31 is subject
Window the value of w according to the distance to the body and the magnification
Output to the generation circuit 27. The window generation circuit 27
The embodiment has a field memory inside,
The skin color detection signal output from the color detection circuit 101 is
Memorize the password. The window generation circuit 27
Skin color of only human face area determined by pewter 31
The value of w is added to the detection signal, and the waveform of FIG.
It is output to the data select circuit 28 as a window pulse.
The area of the signal in FIG.
The rear. Refer to Figure 135 for the area represented in Figure 145 (b)
This is the area within the frame indicated by the symbol e. In FIG.
The area with a dash indicates the output result of the skin color detection circuit 101.
You. The width w to be added to the above-mentioned skin color area is
It can be changed according to the distance to the subject and the zoom position.
Both are possible. That is, as the distance to the subject increases
Therefore, the width w to be added is reduced, and the distance to the subject is reduced.
The width w to be added is increased as the distance becomes closer. Ma
Also, the width w to be added is reduced as the enlargement magnification decreases.
The width w added as the magnification increases
To increase. The width w added to the skin color area is variable
In this case, the area shown in FIG. 145 (b) is shown in FIGS. 138 and 139.
This is indicated by reference symbol e. The following operation is the same as that of Embodiment 73.
is there. (Embodiment 82) The structure of the embodiment 82 is actually
This is the same as Embodiment 74 (FIG. 132). Next, about operation
explain. FIG. 146 (a) shows the state detected by the skin color detection circuit 101.
FIG. 4 is a waveform diagram of a signal generated by the present invention. Microcomputer 31 is subject
Window the value of w according to the distance to the body and the magnification
Output to the generation circuit 27. The window generation circuit 27
The embodiment has a field memory inside,
The skin color detection signal output from the color detection circuit 101 is
Memorize the password. The window generation circuit 27
Skin color of only human face area determined by pewter 31
The value of w is subtracted from the detection signal, and the waveform of FIG.
Output to the data select circuit 37 as a window pulse
You. The signal area in FIG. 146 (b) is the photometric area of the iris.
It is. The region represented by FIG. 146 (b) is denoted by reference numeral f in FIG.
It is the area within the frame shown by. Also, it is reduced from the above-mentioned skin color area.
The calculated width w depends on the distance to the subject and the zoom position
It is also possible to change it. That is, the distance to the subject
The width w to be subtracted is reduced as the distance increases,
Increase the width w that is subtracted as the distance to the body becomes shorter
Make Also, it is subtracted as the magnification becomes smaller.
The width w, and subtract as the magnification increases
The width w to be performed is increased. Width w subtracted from skin color area
When the variable is variable, the area shown in FIG.
139 and FIG. 139. The following operation is an implementation
Same as state 74. (Embodiment 83) The configuration of the embodiment 83 is
This is the same as Embodiment 75 (FIG. 133). Next, about operation
explain. As in the embodiment 82, the signal area shown in FIG.
The area is a photometric area for automatic gain control. Also allow w
The setting of w when changed is the same as that of the eighty-second embodiment.
The following operation is the same as in the seventy-fifth embodiment. (Embodiment 84) The structure of the embodiment 84 is actually
This is the same as Embodiment 76 (FIG. 134). Next, about operation
explain. As in the embodiment 82, the signal area shown in FIG.
Area is the photometry area for automatic electronic shutter speed adjustment.
You. The setting of w when w is variable is described in the embodiment.
Same as 82. The following operation is the same as that of Embodiment 76.
You. (Embodiment 85) FIG. 147 shows a color of the present invention.
35 is a block diagram illustrating a configuration of a video camera (Embodiment 85).
In FIG. 147, the same reference numerals as those in FIGS. 68 and 94 are used.
Parts indicate the same or corresponding parts. Next, about operation
explain. Correlation value calculation circuit 95 and microcomputer
31 is from the skin color area detected by the skin color detection circuit 101
Determine the human face. This discriminating operation is the same as in Embodiment 62.
Therefore, the description is omitted. Then, determine the human face
Otherwise, do not record video signals.
ing. The flowchart in FIG. 148 is used in the present embodiment.
FIG. 70 shows the algorithm of FIG.
The same steps are denoted by the same step numbers.
The microcomputer 31 receives the “recording signal”
(Step S1), the output signal of the correlation value calculation circuit 95 is
Whether it is “High”, that is, in the video signal being shot
It is determined whether or not there is a human face (step S61). Movie
If there is no human face in the image signal, “Recording signal” is output.
No (step S3), recording is not started. In addition,
When the image is started (step S4), the video signal is
Continue to determine whether there is a human face in the issue (step S6
2) If no human face is detected in the video signal,
The “Recording stop signal” is output from the computer 31
(Step S6) The captured video signal is not recorded.
Other operations are in accordance with the forty-fifth embodiment.
Omitted. (Embodiment 86) FIG. 149 shows the color of the present invention.
FIG. 26 is a block diagram illustrating a configuration of a video camera (Embodiment 86).
In FIG. 149, the same numbers as those in FIGS. 71 and 94 are used.
Parts indicate the same or corresponding parts. Next, about operation
explain. As in Embodiment 85, a human face is
Is determined, and if the human face is not determined,
"Wrong recording signal" to tell the photographer
It is supposed to. The flowchart shown in FIG. 150 is used in the present embodiment.
The algorithm of FIG. 72 and FIG.
The same step numbers are used for the same processes as
ing. Before and after the start of recording,
It is determined whether there is a human face inside (steps S61 and S61).
62) If it is not determined, “wrong recording signal” is output.
(Steps S7 and S8). Light emission of light emitting diode 83
Since other operations including the operation are in accordance with Embodiment 46,
Detailed description is omitted. (Embodiment 87) FIG. 151 shows the color of the present invention.
Block diagram showing the structure of a video camera (Embodiment 87).
In FIG. 151, the same reference numerals as in FIGS. 73 and 94 are used.
Parts indicate the same or corresponding parts. Next, about operation
explain. According to the flowchart in Fig. 150, "
Is output to the buzzer transmission circuit 84, the buzzer 85
Be transmitted. Other operations including this operation are described in Embodiment 47
Therefore, the detailed description is omitted. (Embodiment 88) FIG. 152 shows the color of the present invention.
24 is a block diagram illustrating a configuration of a video camera (Eighth Embodiment).
In FIG. 152, the same numbers as in FIGS. 74 and 94 are used.
Parts indicate the same or corresponding parts. Next, about operation
explain. According to the flowchart in Fig. 150, "
The signal "is output to the transmitting circuit 86.
The operation of this embodiment conforms to that of the forty-eighth embodiment, and a detailed description thereof will be omitted.
Abbreviate. The structure of the remote controller 49 is the same as that of the embodiment 48 (FIG. 75).
Or it is the same as FIG. 76). (Embodiment 89) FIG. 153 shows the color of the present invention.
FIG. 28 is a block diagram illustrating a configuration of a video camera (Embodiment 89).
In FIG. 153, the same reference numerals as those in FIGS. 77 and 94 are used.
Parts indicate the same or corresponding parts. Next, about operation
explain. According to the flowchart in Figure 150,
Similarly to the state 49, when the “wrong recording signal” is output, the VIS
The detection signal such as the S signal
Recorded (see FIG. 78). Other operations are in the embodiment.
Since it conforms to 49, its detailed description is omitted. (Embodiment 90) FIG. 154 shows the color of the present invention.
Block diagram showing the structure of a video camera (Embodiment 90).
In FIG. 154, the same numbers as those in FIGS. 87 and 147 are used.
The parts shown are the same or corresponding parts. Next, about operation
Will be explained. As in the fifty-fifth embodiment, the window occurrence
Road 93 is a window for setting the Wx, y picture frame (see Fig. 88).
A pulse is output to the data select circuit 94, and this Wx, y
If the subject is outside the frame (see Figure 89),
No human face is identified. Algorithm of this embodiment
Is the same as that in the embodiment 84 (FIG. 148). (Embodiment 91) FIG. 155 shows a color of the present invention.
FIG. 21 is a block diagram illustrating a configuration of a video camera (Embodiment 91).
In FIG. 155, the same numbers as those in FIGS. 90 and 149 are used.
The parts shown are the same or corresponding parts. Next, about operation
Will be explained. Similarly to the embodiment 90, the set image frame Wx,
If the subject is out of the y position, the person's face is not
Not. The following operation is the same as in the eighty-eighth embodiment. (Embodiment 92) FIG. 156 shows the color of the present invention.
24 is a block diagram illustrating a configuration of a video camera (Embodiment 92).
In FIG. 156, the same numbers as those in FIGS. 91 and 151 are used.
The parts shown are the same or corresponding parts. Next, about operation
Will be explained. Similarly to the embodiment 90, the set image frame Wx,
If the subject is out of the y position, the person's face is not
Not. The following operation is the same as that of the embodiment 87. (Embodiment 93) FIG. 157 shows a color of the present invention.
Block diagram showing the structure of a video camera (Embodiment 93).
In FIG. 157, the same numbers as those in FIGS. 92 and 152 are used.
The parts shown are the same or corresponding parts. Next, about operation
Will be explained. Similarly to the embodiment 90, the set image frame Wx,
If the subject is out of the y position, the person's face is not
Not. The following operation is the same as that of the embodiment 88. (Embodiment 94) FIG. 158 shows the color of the present invention.
24 is a block diagram illustrating a configuration of a video camera (Embodiment 94).
In FIG. 158, the same numbers as those in FIGS. 93 and 153 are used.
The parts shown are the same or corresponding parts. Next, about operation
Will be explained. Similarly to the embodiment 90, the set image frame Wx,
If the subject is out of the y position, the person's face is not
Not. The following operation is the same as that of the embodiment 89. What
The human face discrimination method used in the embodiments 73 to 94 is not
Not only in Embodiment 60 but also in Embodiments 55 to 59 and 61 to 67
May be used. (Embodiment 95) FIG. 159 shows the color of the present invention.
The configuration of a video camera image synthesizing apparatus (Embodiment 95)
It is a block diagram shown. In FIG. 159, 54 is a lens,
55 is an image sensor, 56 is a process circuit, 57 is an encoder circuit
Path, 58 is a synchronous circuit, 59 is a NOT circuit, 60 and 61 are gate circuits
Route, 62 is a synthesis circuit, 225 is a look-up table (LU
T), 226 and 227 are multipliers, and 228 is a comparison circuit. Next, the operation will be described. Light image of the subject
Is formed on the image sensor 55 through the lens 54,
An electric signal of a corresponding value is output, and the process circuit 56
Y signal, RY color difference signal, and BY color difference signal
Is processed into a video signal by the encoder circuit 57.
Up to this point, it is the same as the conventional example. Also, the RY color difference signal
And the BY color difference signals are input to the LUT 225,
The address of the LUT 225 is generated according to the signal. LU
Table data as shown in Fig. 160 is written to T225.
Have been. This table data contains a specific background color area
Is written only to the
This value corresponds to the color density. This area and values are
Is written according to the specific hue of the background color set.
And the value corresponding to the address of the input color difference signal is
Is output. The output of LUT 225 is input to comparison circuit 228.
It is. On the other hand, the Y signal is input to multipliers 226 and 227,
M1 and M2 are multiplied and input to the comparison circuit 228. Comparison
In the circuit 228, the output of the multipliers 226 and 227, that is, the Y signal
Within the range limited between the two values multiplied by the coefficients M1 and M2
Whether or not there is an output of LUT225, and keying
Output as a signal. For example, the coefficient M of the multipliers 226 and 227
When 1,2 is 1/2 and 1/8, in the table of Fig. 160,
Output of LUT225 within the range of 1/2 to 1/8 of Y signal level
Is detected as a background color and a keying signal is output.
Is forced. For example, if the Y signal level is 14, it will be limited
The range becomes 7-1, and the range surrounded by the solid line in FIG.
It becomes the background color area and key-in
Signal is output. [0347] In synchronization with the video signal, the background
The image signal is output to the gate circuit 61. Gate circuit 60
Then, the encoding is performed by the keying signal from the comparison circuit 228.
The background part is masked from the video signal from the
The range of the subject is extracted and output to the synthesis circuit 62.
You. On the other hand, in the gate circuit 61, the key from the NOT circuit 59
Background image from the synchronization circuit 58 due to the inverted signal of the ing signal
The part of the subject is masked from the signal, and the background
And output to the combining circuit 62. It is a game in the synthesis circuit 62
The outputs of the gate circuit 60 and the gate circuit 61 are combined, and
Output as force. (Embodiment 96) FIG.
-Structure of video camera image synthesizing apparatus (Embodiment 96)
FIG. In FIG. 161, the same as FIG.
Since the numbered parts indicate the same parts,
Their description is omitted. In FIG. 161, 234 is an LU.
Table for setting table data in T225
Data setting terminal. In this embodiment 96, LU
T225 table data can be rewritten from outside
ing. Next, the operation will be described. In this embodiment,
Input to table data setting terminal 234
The number of data written to the table data depending on the data
Changing the value and range according to the background color set
And the value corresponding to the address of the input color difference signal is
Is output. Therefore, changing the background color of the background of the subject
Can be. Other operations are the same as those of the ninety-fifth embodiment. (Embodiment 97) FIG.
-Structure of video camera image synthesizing apparatus (Embodiment 97)
FIG. In FIG. 162, FIG.
Since the parts with the same numbers as 1 indicate the same parts,
These descriptions are omitted. In FIG. 162, 235 is
Y signal, RY color difference signal, BY color from process circuit 56
A background color detection switch in which the difference signal is input to the input terminal.
When a control signal is input to the switch control terminal 259
Only the background color detection switch 235 is turned on, and the Y signal, R
Output the Y color difference signal and the BY color difference signal to the background color memory 236.
Power. The background color memory 236 stores the input Y signal, R-
The Y color difference signal and the BY color difference signal are stored and the write signal is input.
When a write signal is input from the input terminal 237, the table
The Y signal stored in the LUT 225 via the data setting terminal 234
, A RY color difference signal, and a BY color difference signal. Next, the operation will be described. Process circuit
56 output Y signal, RY color difference signal, BY color difference signal
The signal is input to the background color detection switch 235 and the switch is controlled.
Background color memory only when a control signal is input to terminal 259
236 is entered. In other words, imaging a specific hue of the background
If you input this control signal within the range, any specific color
Phases can be stored as background colors. Then write
When a write signal is input to the input terminal 237, the background color
Background Y signal and RY color difference signal stored in memory 236
Signal and BY color difference signal are input to the table data setting terminal 234.
Is forced. With these values, the table in LUT225
Values and ranges to be written to the
Can be changed according to the scenery, input in LUT225
A value corresponding to the address of the color difference signal is output.
Therefore, the background color can be arbitrarily changed. Other actions
Is the same as in the ninety-fifth embodiment. (Embodiment 98) The embodiment 97
An embodiment for facilitating the setting of the scenery (embodiment
State 98) will be described. FIG. 163 shows the structure of the ninety-ninth embodiment.
It is a block diagram showing composition, 235 and 236 in a figure are embodiments.
97 is a background color detection switch and a background color memory.
238 is the input horizontal synchronization signal (HD) and vertical synchronization signal
Control signal generation cycle for generating a control signal based on (VD)
The control signal generation circuit 238 outputs the generated control signal.
The background color detection switch 235 and the viewfinder drive
Output to the path 239. The viewfinder drive circuit 239 is
The control signal and the input video signal during shooting are synthesized.
To the viewfinder 240. Next, the operation will be described. Embodiment 97
In the background color memory 23
6 to store the control signal at the output position.
A detection point is fixed at a certain position on the screen.
And if the position can be confirmed at the time of shooting, operation becomes easy.
You. Horizontal sync signal (HD) and vertical sync signal (VD) are input
When the control signal is generated, the control signal generation circuit 238 operates as shown in FIG.
Generates a control signal at the center of the
Output. Control signal is input to the background color detection switch 235
As well as the viewfinder drive circuit 239.
Is forced. The viewfinder drive circuit 239
A video signal is also input, and this video signal is combined with the control signal.
Is output to the viewfinder 240. The photographer
When setting the background color, first view the background to be stored
While checking with the finder 240,
Set the center detection point 242 to be in the background area, and then
Any background color can be stored without error if the background color is stored
be able to. The viewfinder 240 shown in FIG.
It may be a color television monitor. (Embodiment 99) The embodiment 97
An embodiment for facilitating the setting of the scenery (embodiment
State 99) will be described. FIG. 165 shows the structure of the ninety-ninth embodiment.
It is a block diagram showing composition, 235 and 236 in a figure are embodiments.
The background color detection switch and background color memory in 97
239 and 240 in the figure are the same views as in the embodiment 98 (FIG. 163).
A viewfinder drive circuit and a viewfinder. Change
In addition, in FIG.
Period signal (HD), vertical synchronization signal (VD) and mouse 244
166 in accordance with the cursor control signal input from the
Generates a cursor 245 on the screen 241
Background color detection switch 235 and viewfinder drive circuit
This is a cursor generator for outputting to 239. Next, the operation will be described. Embodiment 97
In the background color memory 23
6 to store the control signal at the output position.
A detection point can be set at any position on the screen, and
The operation becomes easy if the position can be confirmed at the time of photographing. Figure
At 165, the horizontal synchronization signal is supplied to the cursor generator 243.
(HD), vertical synchronization signal (VD)
4 outputs a cursor control signal. Cursor generated
The device 243 responds to this cursor control signal by
Cursor 245 at any position on screen 241 as shown at 166
Is generated and a control signal is output. This control signal
It is input to the landscape detection switch 235 and
It is also input to the finder drive circuit 239. View fine
The video signal during shooting is also input to the
The video signal is combined with the control signal and the viewfinder 240
Is output to When the photographer sets the background color in advance,
First, check the background to be stored on the viewfinder 240.
By operating the mouse 244, the detection point 242 in FIG.
Set it to be in the background area other than body 246, then
If you memorize the color, you can memorize any background color without error
Can be. Note that the viewfinder 240 in FIG.
-The mouse 244 can be a TV monitor.
J, joystick, keyboard, etc. may be used. (Embodiment 100) FIG. 167 shows the power of the present invention.
Color video camera image synthesis device (Embodiment 100)
FIG. 3 is a block diagram showing a configuration. In FIG.
Or the parts with the same numbers as those in FIG. 161 or FIG. 162 are the same.
Since these parts are shown, their description is omitted. FIG.
7, 247 is the Y signal input from the process circuit 56.
Signal, RY color difference signal, and BY color difference signal
This is an average circuit that calculates the average value of each signal.
The circuit 247 stores the obtained average value of each signal in the background color memory 236.
Output. The background color memory 236 stores the input average value.
The write signal is input from the write signal input terminal 237.
When input, LU is output via the table data setting terminal 234.
Y signal, RY color difference signal, BY color difference stored in T225
Output the average value of the signal. Next, the operation will be described. Process circuit
56 output Y signal, RY color difference signal, BY color difference signal
The signal is input to the averaging circuit 247 and multiplied over the entire screen.
The average value of each signal on the entire screen is output. this
These average values are input and stored in the background color memory 236.
You. Next, a write signal is input to the write signal input terminal 237.
Is pressed, the background color Y stored in the background color memory 236 is displayed.
Signal, RY color difference signal, and BY color difference signal
Is input to the cable data setting terminal 234. According to these values
Number written to table data in LUT225
Changing the value and range according to the background color set
The LUT225 has the address of the input color difference signal.
Is output. So you can change the background color
Can be Other operations are the same as those in Embodiment 95.
You. (Embodiment 101) Embodiment 100
Embodiment 101 for facilitating the setting of the background color
explain about. FIG. 168 shows the configuration of the embodiment 101.
FIGS. 247 and 236 are the block diagrams of Embodiment 100.
FIG. 167 shows an average value circuit and a background color memory in FIG. Ma
248 is the input horizontal synchronization signal (HD), vertical synchronization
Based on the signal (VD), the screen 241 is displayed as shown in FIG.
Generates an area signal to display area 249 in the center of
Area signal generator, and the area signal generator 24
8 uses the average value circuit 247 and view
Output to the finder drive circuit 239. Viewfinder
The drive circuit 239 receives the area signal and the
Synthesizes the video signal and outputs to the viewfinder 240
You. Next, the operation will be described. Embodiment 10
When the background color is averaged by the average value circuit 247 at 0,
By extracting a part of the screen and averaging it, the background
You do not need to shoot the
If it can be recognized, shooting becomes easy. Horizontal sync signal (HD),
When a vertical synchronization signal (VD) is input, an area signal is generated.
The device 248 is located at the center of the screen 241 as shown in FIG.
To generate an area signal. Area signal is average value circuit 247
And the viewfinder drive circuit 239
Is also entered. Average signal 247: Y signal, RY color
Difference signal and BY color difference signal are input and limited by area signal
The range of these signals is integrated separately
Is output. Viewfinder drive circuit 239
The video signal being captured is also input to the
Signal and output to the viewfinder 240.
You. Viewfinder 240 is used for area signals together with video signals.
Displays the range of the issue. When the photographer sets the background color in advance,
In this case, first check the background to be memorized with the viewfinder 240.
While checking the area signal range (area
249) is in the range of the background, then the background color
If you memorize, you can memorize any background color without error
Wear. The viewfinder 240 shown in FIG.
It may be a Levi monitor. (Embodiment 102) The smell of Embodiment 100
Embodiment 102 for facilitating the setting of the background color
explain about. FIG. 170 shows a configuration of the embodiment 102.
FIGS. 247 and 236 are block diagrams of Embodiment 100.
FIG. 167 shows the average value circuit and the background color memory.
248, 239, and 240 in the figure are the same as in Embodiment 101 (FIG. 168).
Area signal generator, viewfinder drive circuit,
Viewfinder. Further, in FIG.
Air for inputting a selection signal to area signal generator 248
Rear selection terminal. And select from the area selection terminal
When a signal is input, the area signal generator 248
The area is displayed on one split screen of screen 241 as shown in Fig. 1.
As shown, an area signal is generated. Next, the operation will be described. Embodiment 10
When the background color is averaged by the average value circuit 247 at 0,
If you select any part of the screen and extract it,
It is not necessary to capture the background over the entire surface, and the area
If shooting can be confirmed at the time of shooting, shooting becomes easy. Horizontal sync signal
Signal (HD) and vertical synchronization signal (VD)
When a selection signal is input via the selection terminal 250, the area
The signal generator 248 responds to this selection signal as shown in FIG.
Generate an area signal on one of the divided screens as shown
You. That is, the area can be selected by the selection signal.
Can be. The area signal is input to the average circuit 247.
With the viewfinder drive circuit 239.
You. In the average circuit 247, the Y signal, the RY color difference signal, and the B-
When the Y color difference signal is input and the
These signals are integrated separately and their average value is output.
Is forced. The viewfinder drive circuit 239
The video signal and this area signal are combined to
Output to the printer 240. And the viewfinder 240
Displays the range of the area signal together with the video signal.
When the photographer sets the background color in advance, it is stored first.
While checking the background with the viewfinder 240,
Such an area signal range (area 249) is
Selected to be in the background range, then memorize the background color
You can memorize any background color without error
You. Note that the viewfinder 240 in FIG.
It may be a monitor. (Embodiment 103) In general, a chroma key
The background to be combined with the subject image in an image combining device such as
Images can be obtained with an external color camera or VTR, etc.
Need to be In addition, these external inputs can be used as subject images.
To synchronize, for example, in Embodiment 95 (FIG. 159)
A synchronous circuit 58 was required. Such an external color
Images that do not require a camera or VTR and synchronization circuit
Embodiment 103 is a synthesizing apparatus. FIG. 172 shows the embodiment.
FIG. 103 is a block diagram showing the configuration of the third embodiment. In FIG. 172,
Since the parts with the same numbers as those in FIG. 159 indicate the same parts,
These descriptions are omitted. Video signal input to gate circuit 60
The video signal of the subject image is input from the
Keying signal input to gate circuit 60 and NOT circuit 59
Keying signal is input from terminal 252
I have. The reference numeral 253 indicates a background image signal of an arbitrary specific hue.
The background image signal generator that generates the background image signal
The raw device 253 outputs the generated background image signal to the gate circuit 61.
Power. Next, the operation will be described. Of the subject image
The video signal is input to the video signal input terminal 251, and key-in
The keying signal is input to the keying signal input terminal 252. Get
In the gate circuit 60, the key from the keying signal input terminal 252
Video signal from the video signal input terminal 251
The background area is masked from the issue, and the area of the subject is extracted
The data is output to the synthesis circuit 62. On the other hand, in the gate circuit 61
Is obtained by inverting the keying signal from the NOT circuit 59.
From the background image signal from the background image signal generator 253.
The object part is masked, the background area is extracted and combined
It is output to the forming circuit 62. The gate circuit 60,
The output of the gate circuit 61 is synthesized and output as a synthesized video output.
Is forced. (Embodiment 104) The aforementioned embodiment 103
As well as an external color camera or VTR, and sync
Embodiment 104 is an image synthesizing apparatus which does not require a circuit.
You. FIG. 173 is a block diagram showing a configuration of Embodiment 104.
is there. In FIG. 173, the same reference numerals as in FIG. 159 are used.
Indicate the same parts, and their description will be omitted. Game
The video signal input terminal 251
An image signal is input, and a gate circuit 60 and a NOT circuit 59
Keying signal from the keying signal input terminal 252
Is to be entered. Also, 254 is any background
An image memory that stores images as still images.
The memory 254 outputs the stored still image to the gate circuit 61.
You. Between the image memory 254 and the video signal input terminal 251
An image memory switch 260 is interposed. This image
The memory switch 260 is normally open and the image memory
Only closed when storing background image in 254
Has become. Next, the operation will be described. Of the subject image
The video signal is input to the video signal input terminal 251, and key-in
The keying signal is input to the keying signal input terminal 252. Get
In the gate circuit 60, the key from the keying signal input terminal 252
Video signal from the video signal input terminal 251
The background area is masked from the issue, and the area of the subject is extracted
The data is output to the synthesis circuit 62. On the other hand, in the gate circuit 61
Is obtained by inverting the keying signal from the NOT circuit 59.
From still image (background image) from image memory 254
Body parts are masked, background area is extracted and synthesized
Output to the circuit 62. The gate circuit 60 and the gate
The output of the gate circuit 61 is synthesized and output as a synthesized video output
Is done. (Embodiment 105) Special processing for a subject image
Embodiment 105 (soft focus processing)
Will be explained. FIG. 174 is a block diagram showing the structure of the embodiment 105.
It is a lock figure. In FIG. 174, FIGS. 159, 161 and 162
Those denoted by the same reference numerals indicate the same or corresponding parts.
The gate circuit 60 receives the subject image from the video signal input terminal 251.
Video signal is input, and the gate circuit 60 and the NOT
Key 59 from the keying signal input terminal 252
Signal is input to the synchronization circuit 58, and the background image signal input terminal
The background image signal is input from child 255
You. A high-frequency component is provided between the gate circuit 60 and the synthesis circuit 62.
Low-pass filter that cuts off and passes only low-frequency components
(LPF) 256 are provided. Next, the operation will be described. Of the subject image
The video signal is input to the video signal input terminal 251, and key-in
The keying signal is input to the keying signal input terminal 252. Get
In the gate circuit 60, the key from the keying signal input terminal 252
Video signal from the video signal input terminal 251
The background area is masked from the issue, and the area of the subject is extracted
Is output to the LPF 256. Low frequency component with LPF256
Only the minutes are extracted and output to the synthesis circuit 62. on the other hand,
The background image signal input to the background image signal input terminal 255 is
It is input to the synchronization circuit 58 to synchronize with the video signal.
You. The synchronized background image signal is input to the gate circuit 61.
In the gate circuit 61, the keying from the NOT circuit 59 is performed.
The inverted signal of the signal causes the background image signal from the synchronization circuit 58
Object is masked and the background area is extracted
And output to the synthesis circuit 62. LPF256,
The output of the gate circuit 61 is synthesized and output as a synthesized video output.
Is forced. (Embodiment 106) Special processing is performed on a subject image
Embodiment 106 (mosaic processing) will be described.
You. FIG. 175 is a block diagram showing the structure of the embodiment 106.
It is. In FIG. 175, the same numbers as in FIGS. 159, 161 and 162 are used.
The numbers with the numbers indicate the same or corresponding parts. Gate times
The video signal of the subject image is
Signal is input to the gate circuit 60 and the NOT circuit 59.
Keying signal input from keying signal input terminal 252
The synchronization circuit 58 is connected to the background image signal input terminal 255
A background image signal is input. Gate
A video signal of a subject image is provided between the circuit 60 and the synthesizing circuit 62.
A mosaic processing circuit 257 for performing mosaic processing
ing. Next, the operation will be described. Of the subject image
The video signal is input to the video signal input terminal 251, and key-in
The keying signal is input to the keying signal input terminal 252. Get
In the gate circuit 60, the key from the keying signal input terminal 252
Video signal from the video signal input terminal 251
The background area is masked from the issue, and the area of the subject is extracted
The data is output to the mosaic processing circuit 257. Mosaic office
Mosaic processing is performed in the logic circuit 257, and the
Is output. On the other hand, the
The synchronized background image signal is synchronized with the video signal.
Input to the circuit 58. Synchronized background image signal is gated
Input to the circuit 61, and the gate circuit 61
The inverted signal of the keying signal from
The subject is masked from the background image signal,
The box is extracted and output to the combining circuit 62. Synthesis circuit 62
The output of the mosaic processing circuit 257 and the output of the gate circuit 61 are combined.
And output as a composite video output. (Embodiment 107) Special processing for a subject image
Embodiment 107 (Defect Processing)
I will tell. FIG. 176 is a block diagram showing the configuration of the tenth embodiment.
FIG. 176 is the same as FIG. 159, FIG. 161, and FIG.
The numbered ones indicate the same or corresponding parts. Game
The video signal input terminal 251
An image signal is input, and a gate circuit 60 and a NOT circuit 59
Keying signal from the keying signal input terminal 252
The background image signal input terminal 25
From 5, the background image signal is input. Get
Between the gate circuit 60 and the synthesizing circuit 62.
Decrease the number of luminance gradations by thinning out the bits of the video signal of the photo image
Defect processing to apply so-called defect processing
A logic circuit 258 is provided. Next, the operation will be described. Of the subject image
The video signal is input to the video signal input terminal 251, and key-in
The keying signal is input to the keying signal input terminal 252. Get
In the gate circuit 60, the key from the keying signal input terminal 252
Video signal from the video signal input terminal 251
The background area is masked from the issue, and the area of the subject is extracted
Then, it is output to the defect processing circuit 258. Diff
The defect processing is performed by the
Output to the combining circuit 62. On the other hand, the background image signal input terminal
The background image signal input to 255 is synchronized with the video signal.
Is input to the synchronization circuit 58. Synchronized background image
The signal is input to the gate circuit 61, and the gate circuit 61
Synchronized by inverted keying signal from OT circuit 59
The part of the subject is masked from the background image signal from the circuit 58.
The background area is extracted and output to the synthesis circuit 62.
You. The defect processing circuit 258 and the gate circuit
The output of the path 61 is synthesized and output as a synthesized video output.
You. [0372] As described above, claims 1, 5, 9, and 13
The video signal processing device of the present invention has a simple circuit configuration,
Always focus on the main subject (person)
Can be. Claims 2, 3, 4, 6, 7, 8, 10, 11,
With the video signal processing devices of the inventions of 12, 14, 15 and 16,
The main subject (person) who is
Optimum without overexposure and underexposure
Photometric control can be performed so that an image can be obtained. [0374] [0375] [0376] [0377]Claim 17In the video signal processing device of the invention of the invention
Is optimized for auto focus control with simple circuit configuration
To detect the skin color area and recognize it as a human face
And the size of the area
The rear can be set and moved. Claims18In the video signal processing device of the invention of the invention
Is a simple circuit configuration, the face of the person who is the main subject
However, regardless of backlight or over-directed light,
To get the best image without crushing
Detects the skin color area and recognizes it as a human face.
Set the iris metering area to the size and follow
Can be moved. Claim19Video signal of the invention of the invention
The processing device has a simple circuit
The face of the person
The best image can be obtained without blurring or blackening.
The skin color area is detected and recognized as a human face.
Set the metering area of automatic gain control to the size of the area,
And it can be moved following. Claims20In the video signal processing device of the invention of the invention
Is a simple circuit configuration, the face of the person who is the main subject
However, regardless of backlight or over-directed light,
To get the best image without crushing
Detects the skin color area and recognizes it as a human face.
Auto metering area for automatic electronic shutter speed adjustment
It can be set and moved following. Claim
21In the video signal processing device of the invention of the invention,
To optimize the auto focus control
Is detected and recognized as a human face, and slightly larger than that area.
Set the detection area for auto focus control, and
It can follow and move. Claims22In the video signal processing device of the invention of the invention
Is a simple circuit configuration, the face of the person who is the main subject
However, regardless of backlight or over-directed light,
To get the best image without crushing
The skin color area is detected and recognized as a human face, and the area
Set the iris metering area to a slightly smaller size
And can be moved following. Claim23
In the video signal processing device of the invention of the invention, with a simple circuit configuration,
If the face of the person who is the main subject is
No, without overexposure or underexposure
Detect skin color areas and obtain human faces so that
And recognizes that there is
You can set the photometry area and move it
Wear. Claims24In the video signal processing device of the invention of the invention
Is a simple circuit configuration, the face of the person who is the main subject
However, regardless of backlight or over-directed light,
To get the best image without crushing
Detects the skin color area and recognizes it as a human face.
Metering area for automatic electronic shutter speed adjustment
Can be set and moved following. Contract
Request25In the video signal processing apparatus according to the invention, a simple circuit
Skin color for optimal auto focus control
Detects an area and recognizes it as a human face.
Set the detection area of the large auto focus control,
And it can be moved following. Claims26In the video signal processing device of the invention of the invention
Is a simple circuit configuration, the face of the person who is the main subject
However, regardless of backlight or over-directed light,
To get the best image without crushing
Detects the skin color area and recognizes it as a human face.
Set the iris metering area to a slightly smaller size,
And it can be moved following. Claim27Departure
Ming's video signal processing device has a simple circuit
The subject's face is not
Optimum without overexposure and underexposure
Detects skin color area to obtain image and is human face
Automatic gain control metering slightly smaller than that area
Area can be set and moved following
You. Claims28In the video signal processing device of the invention of the invention
Is a simple circuit configuration, the face of the person who is the main subject
However, regardless of backlight or over-directed light,
To get the best image without crushing
Detects the skin color area and recognizes it as a human face.
Metering area for automatic electronic shutter speed adjustment
Can be set and moved followingYou. [0384]

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a block diagram of a conventional video signal processing device. FIG. 2 is a block diagram of another conventional video signal processing device. FIG. 3 is a block diagram of still another conventional video signal processing device. FIG. 4 is a block diagram of a conventional color video camera. FIG. 5 is a schematic diagram showing a state in which oneself is being photographed by remote control. FIG. 6 is a block diagram of a conventional image synthesizing apparatus for a color video camera. FIG. 7 is a diagram illustrating an operation of the image synthesizing device illustrated in FIG. 6; FIG. 8 is a diagram illustrating an example of detecting a skin color area. FIG. 9 is a diagram illustrating an example of a change in a flesh color area according to a level of a luminance signal. FIG. 10 is a block diagram illustrating a configuration of a skin color detection circuit. FIG. 11 is a diagram showing a flesh color region. FIG. 12 is a diagram showing a skin color area. FIG. 13 is a diagram illustrating a flesh-tone area. FIG. 14 is a diagram showing a skin color area. FIG. 15 is a diagram illustrating a table for detecting a skin color area. FIG. 16 is a diagram showing a main subject to be photographed. FIG. 17 is a diagram illustrating a skin color area when the subject illustrated in FIG. 16 is imaged. FIG. 18 is a block diagram illustrating a configuration of another skin color detection circuit. 19 is an output waveform diagram in the skin color detection circuit of FIG. 20 is a block diagram illustrating a configuration of a slice circuit in FIG. FIG. 21 is a block diagram showing a configuration of still another skin color detection circuit. 22 is an output waveform diagram in the skin color detection circuit of FIG. 21. FIG. 23 is a block diagram illustrating a configuration of a video signal processing device according to the present invention. FIG. 24 is a diagram illustrating color correction in a skin color area. FIG. 25 is a block diagram showing a configuration of another video signal processing device of the present invention. FIG. 26 is a block diagram showing a configuration of still another video signal processing device of the present invention. FIG. 27 is a block diagram showing a configuration of still another video signal processing device of the present invention. FIG. 28 is a diagram illustrating a configuration of an aperture correction circuit of FIG. 27; FIG. 29 is a block diagram showing a configuration of still another video signal processing device of the present invention. FIG. 30 is a block diagram showing a configuration of still another video signal processing device of the present invention. FIG. 31 is a block diagram showing a configuration of still another video signal processing device of the present invention. FIG. 32 is a block diagram showing a configuration of still another video signal processing device of the present invention. FIG. 33 is a block diagram showing a configuration of still another video signal processing device of the present invention. FIG. 34 is a diagram showing an area representing an image frame. FIG. 35 is a diagram showing a configuration of a data select circuit. FIG. 36 is a block diagram showing a configuration of still another video signal processing device of the present invention. FIG. 37 is a block diagram showing a configuration of still another video signal processing device of the present invention. FIG. 38 is a block diagram showing a configuration of still another video signal processing device of the present invention. FIG. 39 is a block diagram showing a configuration of still another video signal processing device of the present invention. FIG. 40 is a diagram showing a state in which a skin color detection signal is re-formed by a low-pass filter and a slice circuit. FIG. 41 is a diagram showing a focus area. FIG. 42 is a block diagram showing a configuration of still another video signal processing device of the present invention. FIG. 43 is a diagram showing a configuration of a data select circuit. FIG. 44 is a diagram showing a state in which a data selection circuit re-forms a skin color detection signal. FIG. 45 is a block diagram showing a configuration of still another video signal processing device of the present invention. FIG. 46 is a diagram showing a state in which a skin color detection signal is re-formed by a low-pass filter and a slice circuit. FIG. 47 is a diagram showing a photometry area. FIG. 48 is a block diagram showing a configuration of still another video signal processing device of the present invention. FIG. 49 is a diagram showing a configuration of a data select circuit. FIG. 50 is a block diagram showing a configuration of still another video signal processing device of the present invention. FIG. 51 is a block diagram showing a configuration of still another video signal processing device of the present invention. FIG. 52 is a block diagram showing a configuration of still another video signal processing device of the present invention. FIG. 53 is a block diagram showing a configuration of still another video signal processing device of the present invention. FIG. 54 is a block diagram showing a configuration of still another video signal processing device of the present invention. FIG. 55 is a diagram showing a focus area. FIG. 56 is a diagram showing a focus area. FIG. 57 is a block diagram showing a configuration of still another video signal processing device of the present invention. FIG. 58 is a block diagram showing a configuration of still another video signal processing device of the present invention. FIG. 59 is a diagram showing a photometry area. FIG. 60 is a diagram showing a photometry area. FIG. 61 is a block diagram showing a configuration of still another video signal processing device of the present invention. FIG. 62 is a block diagram showing a configuration of still another video signal processing device of the present invention. FIG. 63 is a block diagram showing a configuration of still another video signal processing device of the present invention. FIG. 64 is a block diagram showing a configuration of still another video signal processing device of the present invention. FIG. 65 is a block diagram showing a configuration of still another video signal processing device of the present invention. FIG. 66 is a diagram showing a focus area. FIG. 67 is a diagram showing a photometry area. FIG. 68 is a block diagram illustrating a configuration of a color video camera of the present invention. FIG. 69 is a diagram showing a configuration of a data latch circuit. FIG. 70 is a flowchart showing an algorithm of the microcomputer. FIG. 71 is a block diagram showing a configuration of another color video camera of the present invention. FIG. 72 is a flowchart showing an algorithm of the microcomputer. FIG. 73 is a block diagram showing a configuration of still another color video camera of the present invention. FIG. 74 is a block diagram showing a configuration of still another color video camera of the present invention. FIG. 75 is a schematic view showing a configuration of a remote controller. FIG. 76 is a schematic view showing another configuration of the remote controller. FIG. 77 is a block diagram showing a configuration of still another color video camera of the present invention. Fig. 78 is a diagram illustrating a format of a tape for recording and reproducing a video signal. FIG. 79 is a block diagram showing a configuration of still another color video camera of the present invention. FIG. 80 is a diagram illustrating reproduced images of a video signal of a color video camera, an output signal of a skin color detection circuit, and an output signal of an adder. FIG. 81 is a flowchart showing an algorithm of the microcomputer. FIG. 82 is a block diagram showing a configuration of another color video camera of the present invention. FIG. 83 is a flowchart showing an algorithm of the microcomputer. FIG. 84 is a block diagram showing a configuration of still another color video camera of the present invention. FIG. 85 is a block diagram showing a configuration of still another color video camera of the present invention. FIG. 86 is a block diagram showing a configuration of still another color video camera of the present invention. FIG. 87 is a block diagram showing a configuration of still another color video camera of the present invention. FIG. 88 is a diagram illustrating a relationship between a reproduced image of an output signal of a skin color detection circuit and an image frame determined by a window generation circuit when a person is imaged. FIG. 89 is a diagram illustrating a relationship between a reproduced image of an output signal of a skin color detection circuit and an image frame determined by a window generation circuit when a person is imaged. FIG. 90 is a block diagram showing a configuration of still another color video camera of the present invention. FIG. 91 is a block diagram showing a configuration of still another color video camera of the present invention. FIG. 92 is a block diagram showing a configuration of still another color video camera of the present invention. FIG. 93 is a block diagram showing a configuration of still another color video camera of the present invention. FIG. 94 is a block diagram showing a configuration of still another video signal processing device of the present invention. FIG. 95 is a block diagram illustrating a configuration of a correlation value calculation circuit. FIG. 96 is a flowchart showing an algorithm of the microcomputer. FIG. 97 is a diagram illustrating a range determined according to a distance to a subject and a zoom position. FIG. 98 is a diagram showing predetermined detection points for obtaining a correlation on a video signal. FIG. 99 is a diagram showing predetermined detection points for obtaining a correlation on a video signal. FIG. 100 is a diagram showing an order in which correlation is obtained at a detection position. FIG. 101 is a diagram showing the center of a human face area and its size. FIG. 102 is a diagram showing an order in which correlation is obtained at a detection position. FIG. 103 is a flowchart showing an algorithm of the microcomputer. FIG. 104 is a diagram illustrating a range determined according to a distance to a subject and a zoom position. FIG. 105 is a diagram showing predetermined detection points for obtaining a correlation on a video signal. FIG. 106 is a diagram showing predetermined detection points for obtaining a correlation on a video signal. FIG. 107 is a diagram showing the order in which the correlation is obtained at the detection location. FIG. 108 is a diagram showing an order in which correlation is obtained at a detection position. FIG. 109 is a flowchart illustrating an algorithm of the microcomputer. FIG. 110 is a diagram showing a range determined according to a distance to a subject and a zoom position. FIG. 111 is a diagram showing predetermined detection points for obtaining a correlation on a video signal. Fig. 112 is a diagram illustrating a predetermined detection portion for obtaining a correlation on a video signal. FIG. 113 is a diagram showing an order in which correlation is obtained at a detection position. FIG. 114 is a diagram showing an order in which correlation is obtained at a detection point. FIG. 115 is a block diagram showing a configuration of still another video signal processing device of the present invention. FIG. 116 is a flowchart showing an algorithm of the microcomputer. FIG. 117 is a diagram illustrating a range determined according to a distance to a subject and an enlargement magnification. FIG. 118 is a flowchart showing an algorithm of the microcomputer. FIG. 119 is a diagram illustrating a range detected as a human face. FIG. 120 is a diagram illustrating values in the horizontal direction of the detected flesh color region. FIG. 121 is a diagram illustrating a range detected as a human face. FIG. 122 is a diagram illustrating horizontal and vertical values of a detected flesh color area. FIG. 123 is a diagram illustrating an image frame representing an area detected as a human face. FIG. 124 is a diagram showing a case where a plurality of skin color regions are detected. FIG. 125 is a block diagram showing a configuration of still another video signal processing device of the present invention. Fig. 126 is a block diagram illustrating a configuration of still another video signal processing device according to the present invention. Fig. 127 is a block diagram illustrating a configuration of still another video signal processing device according to the present invention. FIG. 128 is a block diagram illustrating an internal configuration of an aperture creation circuit. Fig. 129 is a block diagram illustrating a configuration of still another video signal processing device according to the present invention. FIG. 130 is a block diagram showing a configuration of still another video signal processing device of the present invention. FIG. 131 is a block diagram illustrating a configuration of still another video signal processing device according to the present invention. FIG. 132 is a block diagram illustrating a configuration of still another video signal processing device of the present invention. FIG. 133 is a block diagram showing a configuration of still another video signal processing device of the present invention. FIG. 134 is a block diagram illustrating a configuration of still another video signal processing device according to the present invention. FIG. 135 is a block diagram showing a configuration of still another video signal processing device of the present invention. FIG. 136 is an output waveform diagram of a low-pass filter. FIG. 137 is a schematic diagram showing a focus area and a photometry area. FIG. 138 is a schematic diagram showing a focus area when a distance to a subject is long. FIG. 139 is a schematic diagram showing a focus area when a distance to a subject is short. FIG. 140 is a block diagram showing a configuration of still another video signal processing device of the present invention. FIG. 141 is a schematic diagram showing a photometric area when a distance to a subject is long. FIG. 142 is a schematic diagram showing a photometric area when a distance to a subject is short. Fig. 143 is a block diagram illustrating a configuration of still another video signal processing device according to the present invention. FIG. 144 is a block diagram showing a configuration of still another video signal processing device of the present invention. FIG. 145 is a schematic diagram showing a focus area in which a value of width w is added to a skin color area. FIG. 146 is a schematic diagram showing a photometric area in which the value of the width w has been reduced in a flesh-tone area. FIG. 147 is a block diagram showing a configuration of still another color video camera of the present invention. FIG. 148 is a flowchart illustrating an algorithm of the microcomputer. FIG. 149 is a block diagram showing a configuration of still another color video camera of the present invention. FIG. 150 is a flowchart showing an algorithm of the microcomputer. FIG. 151 is a block diagram showing a configuration of still another color video camera of the present invention. FIG. 152 is a block diagram showing a configuration of still another color video camera of the present invention. FIG. 153 is a block diagram showing a configuration of still another color video camera of the present invention. FIG. 154 is a block diagram illustrating a configuration of still another color video camera of the present invention. FIG. 155 is a block diagram illustrating a configuration of still another color video camera of the present invention. FIG. 156 is a block diagram illustrating a configuration of still another color video camera of the present invention. FIG. 157 is a block diagram illustrating a configuration of still another color video camera of the present invention. FIG. 158 is a block diagram illustrating a configuration of still another color video camera of the present invention. FIG. 159 is a block diagram illustrating the configuration of an image composition device for a color video camera according to the present invention. FIG. 160 is a diagram showing table data of a lookup table. FIG. 161 is a block diagram illustrating a configuration of an image combining device of another color video camera of the present invention. FIG. 162 is a block diagram showing a configuration of an image synthesizing device of still another color video camera according to the present invention. FIG. 163 is a block diagram showing a configuration of still another color video camera of the present invention. Fig. 164 is a diagram illustrating sample points of chroma key. FIG. 165 is a block diagram showing a configuration of still another color video camera of the present invention. Fig. 166 is a diagram illustrating chroma key sample points. FIG. 167 is a block diagram illustrating a configuration of an image synthesizing device of still another color video camera according to the present invention. FIG. 168 is a block diagram showing a configuration of still another color video camera of the present invention. Fig. 169 is a diagram illustrating a chroma key area. FIG. 170 is a block diagram showing a configuration of still another color video camera of the present invention. FIG. 171 is a diagram illustrating an area of a chroma key. Fig. 172 is a block diagram illustrating a configuration of an image synthesizing device of still another color video camera according to the present invention. Fig. 173 is a block diagram illustrating a configuration of an image synthesizing device of still another color video camera according to the present invention. Fig. 174 is a block diagram illustrating a configuration of an image synthesizing device of still another color video camera according to the present invention. FIG. 175 is a block diagram showing a configuration of an image synthesizing device of still another color video camera according to the present invention. FIG. 176 is a block diagram illustrating a configuration of an image synthesizing device of still another color video camera according to the present invention. [Description of Signs] 24 Automatic Gain Control Circuit (AGC), 27 Window Generation Circuit, 31 Microcomputer, 49 Remote Controller, 50
Receiver circuit, 78 low pass filter (LPF), 79 slice circuit, 95 correlation value calculation circuit, 101 skin color detection circuit,
105 memory, 106 comparator, 108 low-pass filter (LPF), 109 slice circuit, 111 gain control circuit, 112 gain control circuit, 115 gain control circuit, 118
Gain control circuit, 120 aperture correction circuit, 123, 124, 12
5 bandpass filter (BPF), 135 gain control circuit, 136 gain control circuit, 186 control signal generation circuit, 187 fixed head, 225 look-up table (LUT), 256 low-pass filter (LPF), 257
Mosaic processing circuit, 258 defect processing circuit.

──────────────────────────────────────────────────続 き Continued on the front page (31) Priority claim number Japanese Patent Application No. 4-107451 (32) Priority date April 27, 1992 (1992.4.27) (33) Priority claim country Japan (JP) (31) Priority claim number Japanese Patent Application No. 4-161057 (32) Priority date June 19, 1992 (1992.6.19) (33) Priority claim country Japan (JP) (31) Priority claim number Japanese Patent Application No. 4-161058 (32) Priority date June 19, 1992 (1992.6.19) (33) Priority claiming country Japan (JP) (31) Priority claim number Japanese Patent Application No. 4-208929 ( 32) Priority Date August 5, 1992 (1992.8.5) (33) Priority Claim Country Japan (JP) (31) Priority Claim Number Japanese Patent Application No. 4-208930 (32) Priority Date 1992 August 5 (1992.8.5) (33) Priority claiming country Japan (JP) (31) Priority claim number Japanese Patent Application No. 4-222698 (32) Priority date August 21, 1992 (1992. 8.21) (33) Japan (JP) (31) Priority claim number Japanese Patent Application No. 4-222699 (32) Priority date August 21, 1992 (1992.8.21) (33) Priority claim country Japan (JP) (72) Inventor Kazuaki Kojima 1 Baba Zujo Station, Nagaokakyo-shi, Kyoto Prefecture Mitsubishi Electric Engineering Co., Ltd. Kyoto Office (56) References JP-A-5-37940 (JP, A) JP-A-4-150692 ( JP, A) JP-A-4-167777 (JP, A) JP-A-61-50384 (JP, U) (58) Fields investigated (Int. Cl. 7 , DB name) H04N 9/ 04-9/09 H04N 5/225-5/238

Claims (1)

  1. (57) [Claims] An image signal obtained by photographing a subject is processed.
    The subject in the video signal processing device
    Focus lens and focusing lens to focus the subject
    Focus area setting means for setting the rear, and the obtained video signal
    To focus in the focusing area where the number is set.
    Control means for controlling the focus lens and the obtained image
    A flesh color detecting means for detecting a flesh color region in the signal,Previous
    The skin color detecting means detects whether the video signal is a luminance signal or a color difference signal.
    Means for detecting the skin color from the color difference signal.
    When the hue to be detected is within a predetermined range,
    Color signal saturation output means for outputting the represented color signal saturation
    Multiplying a luminance value of the luminance signal by a predetermined first constant
    A predetermined second constant is added to the value obtained by the calculation and the luminance value of the luminance signal.
    Of the color signal saturation calculated from the sum and difference of the values calculated by multiplying
    The color output from the color signal saturation output means within a fixed range.
    Outputs the skin color detection signal when the signal saturation is included,Previous
    The focus area setting means detects the skin color by the skin color detecting means.
    It is configured so that the emitted skin color area is used as the in-focus area.
    And a video signal processing device. 2. A video signal obtained by photographing a subject is processed.
    Measuring the amount of incident light in a video signal processing device
    Area setting means for setting the photometry area for
    The video signal level in the specified metering area
    Iris to adjust the amount of incident light
    Comprising a skin color detecting means for detecting a skin color region in the image signal,
    The skin color detecting means includes a luminance signal and a color difference signal of a video signal.
    Means for detecting a flesh color from the color difference signal.
    If the hue to be detected is within a predetermined range,
    Color signal saturation output means that outputs the expressed color signal saturation
    And a step of multiplying a luminance value of the luminance signal by a predetermined first constant.
    A predetermined second constant to the calculated value and the luminance value of the luminance signal.
    Of the color signal saturation obtained from the sum and difference of the values obtained by multiplying
    Output from the color signal saturation output means within a predetermined range
    Outputs the skin color detection signal when the color signal saturation is included,
    The photometric area setting means is provided by the skin color detecting means.
    The detected skin color area is configured as the photometric area
    A video signal processing device characterized by the above-mentioned. 3. A video signal obtained by photographing a subject is processed.
    The video signal processing device
    Metering to set the metering area to control the gain constant
    Area setting means and video signal in the set photometry area
    Controls the video signal gain to keep the signal level constant
    Automatic gain control means, and a skin color area in the obtained video signal.
    Skin color detecting means for detecting the area,The skin color detecting means
    Detects flesh color from the luminance signal and color difference signal of the video signal.
    The hue represented by the color difference signal is a predetermined value.
    A color signal represented by the color difference signal when within a range
    A color signal saturation output unit for outputting a saturation;
    A value obtained by multiplying the luminance value of the degree signal by a predetermined first constant;
    The luminance value of the luminance signal was multiplied by a predetermined second constant.
    Within a predetermined range of the color signal saturation determined from the sum and difference of the values.
    The color signal saturation output from the color signal saturation output means is included.
    Outputs a skin color detection signal whenThe metering area setting
    Determining means for detecting the skin color area detected by the skin color detecting means;
    Characterized in that the area is configured as a photometric area
    Video signal processing device. 4. A video signal obtained by photographing a subject is processed.
    Measuring the amount of incident light in a video signal processing device
    Area setting means for setting the photometry area for
    The video signal level in the specified metering area
    Automatic electronic shutter that changes the shutter speed like
    Speed adjusting means and skin color area in the obtained video signal
    Skin color detecting means for detecting,The skin color detecting means,
    Hand for detecting flesh color from luminance signal and color difference signal of video signal
    And the hue represented by the color difference signal is within a predetermined range.
    Color signal saturation represented by the color difference signal if
    Color signal saturation output means for outputting the luminance signal;
    A value obtained by multiplying the luminance value of the signal by a predetermined first constant, and
    Of the value obtained by multiplying the luminance value of the luminance signal by a predetermined second constant
    The color signal falls within a predetermined range of the color signal saturation obtained from the sum and difference.
    Color saturation output from the signal saturation output means.
    Output the skin tone detection signal whenThe metering area setting hand
    The step is a step of determining a skin color area detected by the skin color detecting means.
    An image characterized by being configured to be a photometric area
    Signal processing device. 5. A video signal obtained by photographing a subject is processed.
    The subject in the video signal processing device
    Focus lens and focusing lens to focus the subject
    Focus area setting means for setting the rear, and the obtained video signal
    To focus in the focusing area where the number is set.
    Control means for controlling the focus lens and the obtained image
    Means for detecting a skin color area in a signal;
    It is possible to change the range of the skin color area detected by the output means
    With strange means,The skin color detecting means is configured to determine a luminance of the video signal.
    Means for detecting a skin color from a signal and a color difference signal,
    When the hue represented by the color difference signal is within a predetermined range
    A color that outputs a color signal saturation represented by the color difference signal
    Signal saturation output means for determining a luminance value of the luminance signal;
    A value obtained by multiplying a constant first constant and the luminance of the luminance signal
    Calculated from the sum and difference of values obtained by multiplying the value by a predetermined second constant
    The color signal saturation output means within a predetermined range of the color signal saturation.
    Skin color detection when the color signal saturation output from the stage is included
    Output signal,The in-focus area setting means may include the skin color
    The skin color area detected by the detection means is used as the variable means.
    Therefore, the range increased by a predetermined value is set as the focusing area.
    A video signal processing device characterized by having such a configuration. 6. A video signal obtained by photographing a subject is processed.
    Measuring the amount of incident light in a video signal processing device
    Area setting means for setting the photometry area for
    The video signal level in the specified metering area
    Iris to adjust the amount of incident light
    Skin color detecting means for detecting a skin color region in an image signal;
    The range of the skin color area detected by the detection means can be changed
    With variable means,The flesh-color detecting means is configured to detect the brightness of the
    Means for detecting skin color from the degree signal and color difference signal.
    When the hue represented by the color difference signal is within a predetermined range
    The color signal saturation represented by the color difference signal
    A chrominance signal saturation output means,
    A value obtained by multiplying the luminance signal by a predetermined first constant and the brightness of the luminance signal
    From the sum and difference of the values obtained by multiplying the degree value by a predetermined second constant.
    The color signal saturation within a predetermined range of the color signal saturation.
    Skin color when the saturation of the color signal output from the means is included
    Output detection signal,The photometric area setting means is configured to:
    Means for changing the flesh color area detected by the color detecting means
    The area that has been reduced by a predetermined value by
    A video signal processing device characterized in that it is configured as follows. 7. A video signal obtained by photographing a subject is processed.
    The video signal processing device
    Metering to set the metering area to control the gain constant
    Area setting means and video signal in the set photometry area
    Controls the video signal gain to keep the signal level constant
    Automatic gain control means, and a skin color area in the obtained video signal.
    Skin color detecting means for detecting the area, and the skin color detecting means
    Variable means for changing the range of the detected flesh color area
    e,The skin color detecting means includes a luminance signal and a color difference of a video signal.
    Means for detecting a flesh color from a signal,
    The color difference signal when the hue represented is within a predetermined range.
    Output the color signal saturation represented by
    And a predetermined first constant to the luminance value of the luminance signal.
    Multiplied by a predetermined value and a luminance value of the luminance signal.
    Color signal saturation calculated from the sum and difference of values obtained by multiplying two constants
    Output from the color signal saturation output means within a predetermined range of
    The skin color detection signal when the detected color signal saturation is included
    AndThe photometric area setting means may be a photometric area setting means.
    The flesh color area detected by
    It is configured so that the area reduced by the
    A video signal processing device. 8. A video signal obtained by photographing a subject is processed.
    Measuring the amount of incident light in a video signal processing device
    Area setting means for setting the photometry area for
    The video signal level in the specified metering area
    Automatic electronic shutter that changes the shutter speed like
    Speed adjusting means and skin color area in the obtained video signal
    Skin color detecting means for detecting, and detecting by the skin color detecting means
    Variable means that can change the range of the flesh color area,Previous
    The skin color detecting means detects whether the video signal is a luminance signal or a color difference signal.
    Means for detecting the skin color from the color difference signal.
    When the hue to be detected is within a predetermined range,
    Color signal saturation output means for outputting the represented color signal saturation
    Multiplying a luminance value of the luminance signal by a predetermined first constant
    A predetermined second constant is added to the value obtained by the calculation and the luminance value of the luminance signal.
    Of the color signal saturation calculated from the sum and difference of the values calculated by multiplying
    The color output from the color signal saturation output means within a fixed range.
    Outputs the skin color detection signal when the signal saturation is included,Previous
    The photometric area setting means is configured to detect by the flesh color detecting means.
    The obtained flesh color area is changed by the variable means by a predetermined value.
    That the reduced area is used as the photometric area
    A video signal processing device characterized by the above-mentioned. 9. A video signal obtained by photographing a subject is processed.
    Video signal processing device
    A zoom lens that changes
    The focus lens and the focusing area for focusing the subject
    The focus area setting means to be set and the obtained video signal
    The focus is adjusted to focus in the specified focus area.
    Control means for controlling the cas lens, and
    Flesh color detecting means for detecting a flesh color area, and the flesh color detecting means
    Means for changing the range of the skin color area detected by
    Wherein the focusing area setting means includes a means for detecting the skin color.
    The skin color area detected by the step is changed by the variable means.
    The area enlarged by a predetermined value is set as the focusing area, and the subject
    This predetermined value depends on the distance to the object and the magnification of the subject.
    Video signal processing device characterized by being configured to change
    Place. 10. A video signal obtained by photographing a subject is
    In the video signal processing device to process, the magnification of the subject
    Zoom lens that changes the
    Focus lens and photometry area for measuring the amount of incident light
    Area setting means for setting the
    Incident light so that the level of the video signal at
    Iris to adjust the amount and skin color area in the obtained video signal
    Skin color detecting means for detecting the area, and the skin color detecting means
    Variable means for changing the range of the detected flesh color area
    The photometric area setting means is provided by the skin color detecting means.
    The flesh color area detected by
    The area reduced by the amount is set as the metering area,
    Change this predetermined value according to the distance and the magnification of the subject
    A video signal processing device characterized by having such a configuration. 11. A video signal obtained by photographing a subject is
    In the video signal processing device to process, the magnification of the subject
    Zoom lens that changes the
    Focus lens and constant gain of the obtained video signal
    Area setting means for setting the photometry area
    And the video signal level in the set metering area
    Automatic gain control to control the gain of the video signal
    Control means and a skin for detecting a skin color area in the obtained video signal
    Color detection means, and a skin color detected by the skin color detection means
    Variable means for changing the range of the area;
    A setting means for detecting the skin color detected by the skin color detecting means;
    The color area is reduced by a predetermined value by the variable means.
    The area is the photometric area, and the distance to the subject and the
    This predetermined value is changed according to the large magnification.
    And a video signal processing device. 12. A video signal obtained by photographing a subject is
    In the video signal processing device to process, the magnification of the subject
    Zoom lens that changes the
    Focus lens and photometry area for measuring the amount of incident light
    Area setting means for setting the
    So that the video signal level at
    Electronic shutter speed adjustment means to change the data speed
    And skin color detection to detect the skin color area in the obtained video signal
    Means, and a skin color area detected by the skin color detection means.
    Variable means for changing the range, wherein the photometric area setting
    The means comprises a skin color area detected by the skin color detecting means.
    Is reduced by a predetermined value by the variable means.
    The distance to the subject and the magnification of the subject as the photometric area
    It is configured to change this predetermined value in accordance with
    Video signal processing device. 13. A video signal obtained by photographing a subject is
    In the video signal processing device to process, the magnification of the subject
    Zoom lens that changes the
    Focus lens and focusing area for focusing the subject
    Focusing area setting means for setting the
    The focus is set to focus in the set focus area.
    Control means for controlling the focus lens, and the obtained video signal
    Skin color detection means for detecting a medium skin color region,
    Variable hand that can change the range of the skin color area detected by the step
    And a focusing area setting means, wherein the focusing area setting means comprises:
    Means for detecting the flesh color area detected by the variable means.
    Value according to the distance to the subject and the magnification of the subject
    The area enlarged by the minute is used as the focusing area,
    The product of the reciprocal of the distance and the magnification of the subject is larger than a predetermined value
    The focus area is a predetermined amount from the detected skin color area.
    Characterized by switching to a smaller area
    Video signal processing device. 14. A video signal obtained by photographing a subject is
    In the video signal processing device to process, the magnification of the subject
    Zoom lens that changes the
    Focus lens and photometry area for measuring the amount of incident light
    Area setting means for setting the
    Incident light so that the level of the video signal at
    Iris to adjust the amount and skin color area in the obtained video signal
    Skin color detecting means for detecting the area, and the skin color detecting means
    Variable means for changing the range of the detected flesh color area
    The photometric area setting means is provided by the skin color detecting means.
    The skin color area detected by the variable means
    Smaller by a predetermined value according to the distance to the object and the magnification of the subject
    The reduced area is used as the photometry area, and the distance to the subject is reversed.
    When the product of the number and the magnification of the subject is smaller than a predetermined value,
    The photometric area is larger than the detected skin color area by a predetermined value.
    Characterized by switching to a different area
    Image signal processing device. 15. A video signal obtained by photographing a subject is
    In the video signal processing device to process, the magnification of the subject
    Zoom lens that changes the
    Focus lens and constant gain of the obtained video signal
    Area setting means for setting the photometry area
    And the video signal level in the set metering area
    Automatic gain control to control the gain of the video signal
    Control means and a skin for detecting a skin color area in the obtained video signal
    Color detection means, and a skin color detected by the skin color detection means
    Variable means for changing the range of the area;
    A setting means for detecting the skin color detected by the skin color detecting means;
    The distance to the subject and the subject
    Measure the area reduced by a predetermined value according to the body magnification.
    Light area, reciprocal of distance to subject and enlargement of subject
    Detects photometric area when product with magnification is smaller than a specified value
    To a region that is larger than the specified flesh color region by a predetermined value
    A video signal processing device characterized in that it is configured as follows. 16. A video signal obtained by photographing a subject is
    In the video signal processing device to process, the magnification of the subject
    Zoom lens that changes the
    Focus lens and photometry area for measuring the amount of incident light
    Area setting means for setting the
    So that the video signal level at
    Electronic shutter speed adjustment means to change the data speed
    And skin color detection to detect the skin color area in the obtained video signal
    Means, and a skin color area detected by the skin color detection means.
    Variable means for changing the range, wherein the photometric area setting
    The means comprises a skin color area detected by the skin color detecting means.
    The distance to the subject and the enlargement of the subject are
    A photometric area is defined as the area reduced by a predetermined value according to the large magnification.
    And the reciprocal of the distance to the subject and the magnification of the subject
    When the product of is smaller than the predetermined value, the photometric area is detected.
    Switch to an area larger than the skin color area by a predetermined value
    A video signal processing device characterized in that: 17. A video signal obtained by photographing a subject is
    In the video signal processing device to process, the magnification of the subject
    Zoom lens that changes the
    Focus lens andFocus area for focusing the subject
    Focusing area setting means for setting the
    The focus is set to focus in the set focus area.
    Control means for controlling the focus lens;Obtained video signal
    A skin color detecting means for detecting a medium skin color region,The skin color detection hand
    Discrimination for discriminating a human face from the skin color area detected by the step
    Means for detecting the brightness of the video signal.
    Means for detecting a skin color from a signal and a color difference signal.
    If the hue represented by the difference signal is within a predetermined range,
    A color signal that outputs the color signal saturation represented by the color difference signal
    Signal saturation output means, and the luminance value of the luminance signal is predetermined.
    And the luminance value of the luminance signal
    From the sum and difference of values obtained by multiplying by a predetermined second constant
    The color signal saturation output means within a predetermined range of the color signal saturation;
    Skin color detection when color signal saturation output from
    A signal, and the focusing area setting means outputs the signal
    Skin color determined to be a human face according to the result of the step
    Configured to set the area as the focus areaThat
    Characteristic video signal processing device. 18. A video signal obtained by photographing a subject is
    In the video signal processing device to process, the magnification of the subject
    Zoom lens that changes the
    Focus lens andPhotometry area for measuring the amount of incident light
    Area setting means for setting the
    Incident light so that the level of the video signal at
    Iris for adjusting the amount and controlling the opening of the iris
    Iris control means;The skin color area in the obtained video signal
    Means for detecting flesh color,Detected by the skin color detecting means.
    Determining means for determining a human face from the extracted skin color area,
    The skin color detecting means includes a luminance signal and a color difference signal of a video signal.
    Means for detecting a flesh color from the color difference signal.
    If the hue to be detected is within a predetermined range,
    Color signal saturation output means that outputs the expressed color signal saturation
    And a step of multiplying a luminance value of the luminance signal by a predetermined first constant.
    A predetermined second constant to the calculated value and the luminance value of the luminance signal.
    Of the color signal saturation obtained from the sum and difference of the values obtained by multiplying
    Output from the color signal saturation output means within a predetermined range
    Outputs the skin color detection signal when the color signal saturation is included,
    The photometric area setting unit is configured to output a result of the determination by the determination unit.
    Depending The skin color area determined to be a human face
    Configured to be set asVideo characterized by that
    Signal processing device. 19. A video signal obtained by photographing a subject is
    In the video signal processing device to process, the magnification of the subject
    Zoom lens that changes the
    Focus lens andControlling the gain of the obtained video signal to be constant
    Area setting means for setting the photometry area
    And the video signal level in the set metering area
    Automatic gain control to control the gain of the video signal
    Means,Skin to detect skin color area in obtained video signal
    Color detection means;The skin color area detected by the skin color detection means
    Determining means for determining a human face from the area,
    Output means for extracting a flesh color from the luminance signal and the color difference signal of the video signal.
    Means for detecting the hue represented by the color difference signal
    Is represented by the color difference signal when is within a predetermined range.
    Color signal saturation output means for outputting the color signal saturation,
    The luminance value of the luminance signal was obtained by multiplying the luminance value by a predetermined first constant.
    Value and the luminance value of the luminance signal are multiplied by a predetermined second constant.
    Within the specified range of the color signal saturation calculated from the sum and difference of the calculated values
    The color signal saturation output from the color signal saturation output means.
    Output the skin color detection signal when the
    The rear setting means is configured to output a person according to a determination result of the determination means.
    The skin color area determined to be the face of
    Configured toVideo signal processing device characterized by the following:
    Place. 20. A video signal obtained by photographing a subject
    In the video signal processing device to process, the magnification of the subject
    Zoom lens that changes the
    Focus lens andPhotometry area for measuring the amount of incident light
    Area setting means for setting the
    So that the video signal level at
    Electronic shutter speed adjustment means to change the data speed
    When,Skin color detection to detect the skin color area in the obtained video signal
    Means,From the skin color area detected by the skin color detection means
    Discriminating means for discriminating a human face;
    Detects flesh color from the luminance signal and color difference signal of the video signal.
    The hue represented by the color difference signal is a predetermined value.
    A color signal represented by the color difference signal when within a range
    A color signal saturation output unit for outputting a saturation;
    A value obtained by multiplying the luminance value of the degree signal by a predetermined first constant;
    A predetermined second constant is added to the luminance value of the luminance signal. Multiplied and found
    Within a predetermined range of the color signal saturation determined from the sum and difference of the values.
    The color signal saturation output from the color signal saturation output means is included.
    Outputs a skin color detection signal when the
    Determining means for detecting a person's face in accordance with a result of the determination by the determining means;
    Set the skin color area determined to be present as the photometric area
    Was configured asA video signal processing device characterized by the above-mentioned. 21. A video signal obtained by photographing a subject is
    In the video signal processing device to process, the magnification of the subject
    Zoom lens that changes the
    Focus lens andFocus area for focusing the subject
    Focusing area setting means for setting the
    The focus is set to focus in the set focus area.
    Control means for controlling the focus lens;Obtained video signal
    A skin color detecting means for detecting a medium skin color region,The skin color detection hand
    Discrimination for discriminating a human face from the skin color area detected by the step
    Means, and a row to which a signal of a result of the determination by the determination means is inputted.
    A pass filter; and
    The output signal of the low-pass filter is smaller than a predetermined threshold.
    To set the focus area
    WasA video signal processing device characterized by the above-mentioned. 22. A video signal obtained by photographing a subject
    In the video signal processing device to process, the magnification of the subject
    Zoom lens that changes the
    Focus lens andPhotometry area for measuring the amount of incident light
    Area setting means for setting the
    Incident light so that the level of the video signal at
    Iris for adjusting the amount and controlling the opening of the iris
    Iris control means;The skin color area in the obtained video signal
    Means for detecting flesh color,Detected by the skin color detecting means.
    Discriminating means for discriminating a human face from the extracted skin color area;
    A low-pass filter to which the signal of the determination result of the means is input;
    Wherein the photometric area setting means comprises:
    Of the output signal of the
    Configured to set as photometric areaCharacterized by
    Video signal processing device. 23. A video signal obtained by photographing a subject
    In the video signal processing device to process, the magnification of the subject
    Zoom lens that changes the
    Focus lens andControlling the gain of the obtained video signal to be constant
    Measurement Light metering area setting means for setting the light area
    And the video signal level in the set metering area
    Automatic gain control to control the gain of the video signal
    Means,Skin to detect skin color area in obtained video signal
    Color detection means;The skin color area detected by the skin color detection means
    Discriminating means for discriminating a human face from an area, and discriminating the discriminating means
    And a low-pass filter to which the resulting signal is input.
    The photometric area setting means outputs the output of the low-pass filter.
    The area of the signal that is larger than the predetermined threshold
    Configured to be set asVideo signal characterized by
    No. processing unit. 24. A video signal obtained by photographing a subject
    In the video signal processing device to process, the magnification of the subject
    Zoom lens that changes the
    Focus lens andPhotometry area for measuring the amount of incident light
    Area setting means for setting the
    So that the video signal level at
    Electronic shutter speed adjustment means to change the data speed
    When,Skin color detection to detect the skin color area in the obtained video signal
    Means,From the skin color area detected by the skin color detection means
    Discriminating means for discriminating a human face;
    A low-pass filter for receiving a signal;
    The area setting means is configured to output an output signal of the low-pass filter.
    The area within the range larger than the predetermined threshold
    Configured to setVideo signal processing characterized by the following:
    apparatus. 25. A video signal obtained by photographing a subject
    In the video signal processing device to process, the magnification of the subject
    Zoom lens that changes the
    Focus lens andFocus area for focusing the subject
    Focusing area setting means for setting the
    The focus is set to focus in the set focus area.
    Control means for controlling the focus lens;Obtained video signal
    A skin color detecting means for detecting a medium skin color region,The skin color detection hand
    Discrimination for discriminating a human face from the skin color area detected by the step
    Means and an operation for adding a predetermined value to the result of the determination by the determination means
    Means, and the focusing area setting means comprises:
    Set the output range area of the step as the focusing area
    ComposedA video signal processing device characterized by the above-mentioned. 26. A video signal obtained by photographing a subject
    In the video signal processing device to process, the magnification of the subject
    Zoom lens that changes the
    Focus lens andPhotometry area for measuring the amount of incident light
    Set the measurement Light area setting means and set photometry area
    Incident light so that the level of the video signal at
    Iris for adjusting the amount and controlling the opening of the iris
    Iris control means;The skin color area in the obtained video signal
    Skin color detecting means for detecting, and the skin color detecting meansDetected by
    ReSkin color areaFromDiscriminating means for discriminating a human face;
    meansCalculation means for subtracting a predetermined value from the determination result of
    The photometric area setting means includes an output range of the calculating means.
    Configured to set the surrounding area as the photometric areaThis
    And a video signal processing device. 27. A video signal obtained by photographing a subject
    In the video signal processing device to process, the magnification of the subject
    Zoom lens that changes the
    Focus lens andControlling the gain of the obtained video signal to be constant
    Area setting means for setting the photometry area
    And the video signal level in the set metering area
    Automatic gain control to control the gain of the video signal
    Means,Skin to detect skin color area in obtained video signal
    Color detection means, and the skin color detection meansDetected bySkin color
    AreaFromDiscriminating means for discriminating a human face, and the discriminating meansDetermination
    Calculating means for subtracting a predetermined value from the result,
    The area setting means measures an area of the output range of the calculating means.
    Configured to be set as a light areaCharacterized by
    Video signal processing device. 28. A video signal obtained by photographing a subject
    In the video signal processing device to process, the magnification of the subject
    Zoom lens that changes the
    Focus lens andPhotometry area for measuring the amount of incident light
    Area setting means for setting the
    So that the video signal level at
    Electronic shutter speed adjustment means to change the data speed
    When,Skin color detection to detect the skin color area in the obtained video signal
    Means and the skin color detecting meansDetected bySkin color areaFrom
    Discriminating means for discriminating a human face, and the discriminating meansIs the judgment result of
    Computing means for subtracting a predetermined value from the photometric area.
    Setting means for setting an area of the output range of the arithmetic means to a photometric area;
    Configured to be set asVideo characterized by that
    Signal processing device.
JP25216598A 1992-01-13 1998-09-07 Video signal processing device Expired - Lifetime JP3502978B2 (en)

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JP391792 1992-01-13
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JP16105892 1992-06-19
JP20892992 1992-08-05
JP20893092 1992-08-05
JP4-44581 1992-08-21
JP4-208930 1992-08-21
JP4-3917 1992-08-21
JP4-107451 1992-08-21
JP4-4453 1992-08-21
JP22269892 1992-08-21
JP4-161058 1992-08-21
JP4-208929 1992-08-21
JP4-161057 1992-08-21
JP4-222699 1992-08-21
JP4-222698 1992-08-21
JP22269992 1992-08-21
JP25216598A JP3502978B2 (en) 1992-01-13 1998-09-07 Video signal processing device

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