JPH11346357A - Recording device for monitoring - Google Patents

Abstract

PROBLEM TO BE SOLVED: To start recording based on the change of a subject image in a simple configuration by providing an encoding means for detecting the movement information of a monitoring area based on plural image data different in timing among the image data of the monitoring area picked-up by an image pickup means, and compressing and encoding the image data from the image pickup means based on the movement information. SOLUTION: A VTR 10 for monitoring supplies image data D1 picked-up by a camera part 11 to an encoder part 13. A pre-processing part 14 of an encoder 13 divides each frame image of the image data D1 into macroblocks constituted of color difference signals, and outputs it as macroblack data D2. A motion vector detecting part 16 outputs motion vector data D16 based on the macro block data D2 and reference data in the frame memory of a compression processing part 15. A Schmidt circuit 17 outputs a trigger signal D17 for starting recording to a recording system 18 when the motion vector data D16 exceed a prescribed threshold value.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a surveillance recorder, and is suitably applied to, for example, a surveillance video tape recorder.

[0002]

2. Description of the Related Art Conventionally, in a space where an unspecified number of people enter and exit, such as a lobby in a bank or a cash dispenser, a surveillance video tape recorder (VTR) is installed for security purposes. And the monitoring VTR
In this way, a video image taken by the camera is recorded and stored. As a specific method, there is a method as described below.

[0003] As a first recording method, there is a method of recording and storing a shot image by setting a monitoring VTR to a constant recording state. In this case, recording is performed because the recording state is always constant. The disadvantage is that the capacity of the medium (for example, a magnetic tape or a magneto-optical disk) has to be increased.

As a second recording method, there is a method of detecting a change in an elephant elephant due to a person entering or exiting and using the detection result as a trigger to start recording and record and save a captured image. In this case, recording is performed only when a subject is present, so that the capacity of the recording medium can be reduced accordingly.

[0005] As a processing method in the second recording method, a baseband signal photographed in a space where an object (a person or the like) does not exist is converted into a digital signal by analog-to-digital conversion, and the digital data is converted to an unmanned image. The data is stored in the frame memory as data.
Then, a change in the image of the subject is detected by calculating a difference value between the image data in the unmanned state and the image data shot when a person enters and exits, and recording is started with the detection result at this time as a trigger. Has been made.

[0006]

In the monitoring VTR having such a configuration, it is necessary to newly provide a motion detector for detecting a change in the elephant in the second recording method and outputting a trigger. For this reason, there has been a problem that the signal processing until the start of recording becomes complicated and the whole apparatus becomes large.

The present invention has been made in view of the above points, and has as its object to propose a monitoring recording apparatus capable of controlling the start of recording based on a change in an elephant subject with a simple configuration.

[0008]

According to the present invention, there is provided a monitoring recording apparatus for recording an image obtained by capturing an image of a predetermined monitoring area for monitoring, by capturing an image of the monitoring area. Imaging means for generating data; and motion information of the monitoring area detected based on a plurality of pieces of image data at different timings among the image data of the monitoring area imaged by the imaging means, and based on the motion information. Encoding means for compressing and encoding the image data output from the image pickup means; and, when a change is detected in the image data of the monitoring area based on the motion information, the encoded data compressed and encoded by the encoding means is encoded. An image determination recording control unit for recording on a predetermined recording medium is provided.

[0009] The motion information detected by the encoding means is used for compression encoding of image data and also used for judging a change in the elephant subject. When a change in the elephant subject is detected based on the motion information, the motion information is recorded on a recording medium. Since recording is performed, the start of recording can be controlled with a simple configuration based on a change in the elephant subject.

[0010]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS An embodiment of the present invention will be described below in detail with reference to the drawings.

(1) First Embodiment In FIG. 1, reference numeral 10 denotes a monitoring VTR according to the first embodiment as a whole, and image data D1 captured by a camera unit 11 is stored in a VTR unit 12. Encoder section 13
To supply. The encoder unit 13 sends the image data D1 to the pre-processing unit 14.

The pre-processing unit 14 specifies which of three image types, I-picture, P-picture or B-picture, is to be processed for each frame image of the sequentially input image data D1, and The frame images are rearranged in the encoding order according to the image type of the image, and the frame image is further divided into 16 pixels × 16 pixels.
The block is divided into macroblocks composed of the luminance signal of the line and the color difference signal corresponding to the luminance signal, and this is supplied to the compression processing section 15 and the motion vector detection section 16 as macroblock data D2.

The pre-processing unit 14 converts the raster scan into a block scan, thereby changing the order in which the images are coded.

Here, the encoder 13 sends the macroblock data D2 supplied from the preprocessor 14 to the motion vector detector 16 and the arithmetic circuit 22 of the compression processor 15 as shown in FIG.

The motion vector detecting section 16 determines which one of a large number of candidate blocks existing in a predetermined search area of the reference image data D28 stored in the frame memory 29 of the compression processing section 15 by the macroblock data D2. The similarity is checked by calculating a difference value of luminance (hereinafter, this method is referred to as a block matching method), and the positional deviation from the candidate block having the highest similarity is determined by the motion vector data D16 of the macroblock data D2. To the motion compensator 30.

The arithmetic circuit 22 performs an intra mode, a forward prediction mode, and a backward prediction mode on the macroblock data D2 supplied from the preprocessing unit 14 based on the image type of each macroblock data of the macroblock data D2. Motion compensation is performed in either the prediction mode or the bidirectional prediction mode.

Here, the intra mode is an encoding method for transmitting a frame image to be encoded as it is, and the forward prediction mode transmits a prediction residual between the frame image and the past reference image as transmission data. Is an encoding method. In addition, the backward prediction mode is a coding method of transmitting a prediction residual between a frame image to be encoded and a future reference image as transmission data, and the bidirectional prediction mode is a frame image to be encoded. This is a coding method for transmitting a prediction residual between an average value of two predicted images, a past reference image and a future reference image, as transmission data.

First, the case where the macroblock data D2 is an I-picture will be described. In this case, the macro block data D2 is processed in the intra mode. That is, the arithmetic circuit 22 uses the macroblock of the macroblock data D2 as the arithmetic data D3 as it is as DCT (Disable).
crete Cosine Transform).

The DCT unit 23 converts the operation data D3 into a DCT coefficient by performing a DCT conversion process, and sends this to the quantization unit 24 as DCT coefficient data D4. The quantization unit 24 performs a quantization process on the DCT coefficient data D4, and uses this as quantized DCT coefficient data D5 in VLC (Variable Length Coding).
The signal is sent to the unit 25 and the inverse quantization unit 26, respectively.

At this time, the quantizing section 24 calculates the quantization control value D31 supplied from the quantization rate control section 31 according to
The code generation amount of the quantized DCT coefficient data D5 is controlled by adjusting the quantization step size in the quantization processing.

The inverse quantization unit 26 performs an inverse quantization process on the quantized DCT coefficient data D5, and sends the result to the inverse DCT unit 27 as DCT coefficient data D26. Inverse DCT
The unit 27 performs an inverse DCT process on the DCT coefficient data D26, and uses the inverse DCT process as operation data D27.
And stores it in the frame memory 29 as reference image data D28.

Next, a case where the macroblock data D2 is a P-picture will be described. In this case, the arithmetic circuit 22 performs a motion compensation process on the macroblock data D2 in either the intra mode or the forward prediction mode.

When the prediction mode is the intra mode, the arithmetic circuit 22 sends the macroblock of the macroblock data D2 as it is to the DCT unit 23 as the arithmetic data D3 as in the case of the I-picture.

On the other hand, when the prediction mode is the forward prediction mode, the arithmetic circuit 22 outputs the macroblock data D2.
Is subtracted using the forward prediction image data D30F supplied from the motion compensation unit 30.

The forward predicted image data D30F is calculated by performing motion compensation on the reference image data D28 stored in the frame memory 29 in accordance with the motion vector data D16 supplied from the motion vector detecting section 16. That is, the motion compensating unit 30 shifts the read address of the frame memory 29 in the forward prediction mode according to the motion vector data D16, and outputs the reference image data D2.
8 is supplied to the arithmetic circuit 22 and the arithmetic circuit 28 as forward prediction image data D30F.

The arithmetic circuit 22 generates the macro block data D2
Is subtracted from the forward prediction image data D30F to obtain difference data as a prediction residual, which is sent to the DCT unit 23 as operation data D3. The arithmetic circuit 28 also calculates the forward prediction image data D30F supplied from the motion compensation unit 30.
Is added to the operation data D27 to locally reproduce the reference image data D28 (P-picture) and store it in the frame memory 29.

Next, the case where the macroblock data D2 of B picture is supplied from the preprocessing unit 14 to the arithmetic circuit 22 will be described. In this case, the arithmetic circuit 22 performs any one of the intra mode, the forward prediction mode, the backward prediction mode, and the bidirectional prediction mode on the macroblock data D2.

When the prediction mode is the intra mode or the forward prediction mode, the macroblock data D2 is subjected to the same processing as in the case of the P picture described above, but the B picture is not used as a reference picture, so that the frame memory 2 is not used.
9 is not stored.

On the other hand, when the prediction mode is the backward prediction mode, the arithmetic circuit 22 performs a subtraction process on the macroblock data D2 using the backward prediction image data D30B supplied from the motion compensator 30.

The backward prediction image data D30B is calculated by performing motion compensation on the reference image data D28 stored in the frame memory 29 according to the motion vector data D16. That is, in the backward prediction mode, the motion compensating unit 30 reads the reference image data D28 by shifting the read address of the frame memory 29 according to the motion vector data D16, and reads the reference image data D28.
30B is supplied to the arithmetic circuit 22 and the arithmetic circuit 28, respectively.

The arithmetic circuit 22 generates the macro block data D
The difference data as the prediction residual is obtained by subtracting the backward prediction image data D30B from 2, and the difference data is sent to the DCT unit 23 as operation data D3.

The arithmetic circuit 28 adds the backward prediction image data D30B supplied from the motion compensating unit 30 to the arithmetic data D27, thereby obtaining the reference image data D28 (B
Is reproduced locally, but since the B picture is not used as another predicted reference picture, the reference picture data D2
8 is not stored in the frame memory 29.

When the prediction mode is the bidirectional prediction mode, the arithmetic circuit 22 subtracts the average value of the forward predicted image data D30F and the backward predicted image data D30B supplied from the motion compensator 30 from the macroblock data D2. The difference data as the prediction residual is obtained and sent to the DCT unit 23 as the operation data D3.

The arithmetic circuit 22 calculates the average value of the forward predicted image data D30F and the backward predicted image data D30B supplied from the motion compensating unit 30 into the calculated data D27.
, The reference image data D28 (B picture) is generated. However, since the B picture is not used as another predicted reference image, the reference image data D28 is not stored in the frame memory 29.

The image data D1 input to the encoder 13 is subjected to a motion compensation process, a DCT process and a quantization process, and is converted to VLC as quantized DCT coefficient data D5.
It is supplied to the unit 25.

The VLC unit 25 performs a variable length coding process on the quantized DCT coefficient data D5 and the motion vector data D16 supplied from the motion vector detection unit 16 based on a predetermined conversion table, and converts this into a variable length code. The data is sent to the buffer 32 as coded data D6.

The buffer 32 sequentially stores the variable-length coded data D6 to be transmitted, and then stores the fixed-length coded data D8 in units of a fixed period, that is, for each GOP (Group Of Picture).
And sends it to the recording system 18. Recording system 18
Is designed to record the fixed-length encoded data D8 on a recording medium such as a tape.

The motion vector detector 16 also sends the motion vector data D16 to the shunt circuit 17. The shunt circuit 17 calculates the motion vector data D
As a result of comparing the value of 16 with a predetermined threshold value, if the value exceeds the threshold value, a trigger signal D17 for starting recording is output to the recording system 18. Thus, the recording system 18 starts recording the fixed-length encoded data D8 based on the trigger signal D17.

That is, in the monitoring VTR 10 in this case, if the difference value of the luminance signal calculated by the motion vector detecting section 16 (ie, the motion vector data D16) exceeds a predetermined threshold, some kind of object elephant is added. It is determined that a change (for example, a person has entered or exited) has occurred, and recording is started at this time.

In the above-described configuration, the monitoring VTR 10 uses the macroblock data in the compression processing unit 15 based on the motion vector data D16 detected by the motion vector detection unit 16 of the encoder unit 13 built in the VTR unit 12 in advance. At the same time as the compression processing of D2, the change of the elephant subject is read based on the motion vector data D16. When the degree of the change of the elephant subject is large, it is determined that a person has entered or exited, and recording is started.

As described above, the monitoring VTR 10 is provided with a motion vector detecting section 16 built in the encoder section 13 in advance.
As a result, the recording start trigger signal D17 can be obtained.
Can be obtained by simple signal processing to control the recording start timing of the recording system 18, and the built-in motion vector detector 16 is used to compress the macroblock data D2 and generate the trigger signal D17. The dual use can reduce the size of the entire device.

According to the above configuration, the monitoring VTR 10 obtains the trigger signal D17 for starting recording by the motion vector detecting section 16 built in the encoder section 13 in advance and supplies the trigger signal D17 to the recording system 18, thereby simplifying the operation. Recording system 1 with simple configuration
8 can be controlled based on the movement of the elephant.

(2) Second Embodiment In FIG. 3, in which parts corresponding to those in FIG. 1 are assigned the same reference numerals, reference numeral 40 denotes a monitoring VTR according to the second embodiment. Then, the captured image data D1 is supplied to the encoder unit 42 of the VTR unit 41. The encoder unit 42 sends out the image data D1 to the preprocessing unit 14.

The pre-processing unit 14 specifies the image type for each frame image of the image data D1, rearranges the encoding order of the frame images according to the specified image type, and then macroblocks the frame image. This is sent to the motion vector detecting section 43 as macroblock data D2.

The motion vector detecting section 43 has a low-pass filter 43A, a band-pass filter 43B and a high-pass filter 43C. The low-pass filter 43A detects only low-frequency components lower than a predetermined frequency component in the macroblock data D2. The macroblock data D2 is extracted from the macroblock data D2 by the band-pass filter 43B, and is extracted as low-frequency component data D43A.
The high-pass filter 43C extracts only high-frequency components equal to or higher than a predetermined frequency component in the macroblock data D2 as 43B, and sends them to the motion detection circuit 44D as high-frequency component data D43C.

The motion detecting circuit 44D includes the low frequency component data D43A, the intermediate frequency component data D43B, the high frequency component data D43C, and the reference image data D28 stored in the frame memory 29 of the compression processing unit 15 (FIG. 2).
Then, motion vectors for the low-frequency, intermediate-frequency, and high-frequency bands are obtained by performing block matching on the basis of the above, and are sent to the weighting circuit unit 44 as motion vector data D44A to D44C.

Here, when it is desired to use the low-frequency component data D43A extracted from the low-pass filter 43A as a trigger, a sharp change in the brightness of the image, that is, the low-frequency component data D43A appears at the position of the frequency f0. It is made to use the change of the DC component,
For example, it is used as a trigger when a large change in luminance between daytime and nighttime or a large change in luminance due to lighting on / off is detected.

When it is desired to use the intermediate frequency component data D43B extracted from the band pass filter 43B as a trigger, the intermediate frequency component is ignored ignoring the gradual change in brightness of the image, that is, the low frequency AC component and the high frequency AC component. A change in the AC component is used, and is used as a trigger when a gradual change in luminance is detected, for example, when a person enters or exits.

When it is desired to use the high-frequency component data D43C extracted from the high-pass filter 43C as a trigger, a change in fine motion of an image, that is, a change in a high-frequency AC component is used. Is used as a trigger when a change in the fine movement of the leaf of the plant due to the change is detected.

In the second embodiment, it is desired to use as a trigger when a gradual change in luminance due to a person entering or exiting is actually detected. It is assumed that the user does not want to use it as a trigger when detecting. For this reason, in the monitoring VTR 40, a trigger is always obtained when a person enters or exits in a cash dispenser or a lobby of a bank, and the trigger is not easily obtained only by a change in the other subject image. In this way, the recording start timing in the recording system 18 is controlled.

Accordingly, the weighting circuit section 44 assigns a unique weighting factor to the first weighting circuit 4 in accordance with the purpose of determining which part of the subject elephant generates a trigger.
5, the second weighting circuit 46 and the third weighting circuit 4
7 is set. In this case, "1" is set as the weighting coefficient k1 in the _first weighting circuit 45, "3" is set as the weighting coefficient k2 in the _second weighting circuit 46, and the third weighting circuit 47 is set in the third weighting circuit 47. "1" is set as the weighting coefficient k ₃ is.

That is, the weighting circuit section 44 obtains coefficient data D45, D46 and D47 by multiplying the motion vector data D44A to D44C by the corresponding weighting coefficients k ₁ to k ₃ , respectively. Send out. The adder 48 performs an addition process on the coefficient data D45 to D47, and sends the resulting motion vector coefficient data D48 to the compression processing unit 15 and the shunt circuit 17, respectively. Incidentally, the motion vector coefficient data D48
Are supplied to the compression processing unit 15 and the shunt circuit 17 as equivalent to the motion vector data D16 in the first embodiment.

The shunt circuit 17 compares the value of the motion vector coefficient data D48 with a predetermined threshold, and records a trigger signal D17 for starting recording when the value of the motion vector coefficient data D48 exceeds the threshold. System 18
Output.

That is, in the monitoring VTR 40 in this case, recording is started on the basis of the motion vector coefficient data D48 obtained by weighting the change (elevation of a person) of the elephant to be used as a trigger in the macroblock data D2. Has been made to control.

In the motion vector detecting section 43, the low-pass filter 43A and the band-pass filter 43
B and the low frequency component data D43A and the intermediate frequency component data D4 extracted through the high pass filter 43C.
3B and the high frequency component data D43C are also sent to the weighting circuit unit 50 for compression processing.

The weighting circuit unit 50 for the compression process includes the first
Weighting circuit 51, the second weighting circuit 52 and the third
And a low-frequency component data D43
A, a unique weighting factor is set according to which frequency band of the intermediate frequency component data D43B and the high frequency component data D43C is mainly subjected to compression processing.

[0057] accordance connexion, the weighting factor K ₁ is set in the first weighting circuit 51, the second weighting circuit 52 is set weighting coefficient K _2, the third weighting circuit 53 weighting coefficient K ₃ Is set, and the low frequency component data D43A, the intermediate frequency component data D43B, and the high frequency component data D43
After the respective weighting coefficients K ₁ ~K ₃ is the addition processing by the adder 54 is multiplied processed 43C, is supplied to the compression processing section 15 as the macro Bro poke data D50.

Here, the compression processing section 15 has the same configuration as that shown in FIG. 2, in which macroblock data D50 is supplied instead of macroblock data D2. Instead, it generates fixed-length encoded data D8 'and sends it to the recording system 18. As a result, the recording system 18 outputs the fixed-length encoded data D based on the trigger signal D17 supplied from the shunt circuit 17.
8 'is recorded on a tape.

In the above configuration, the monitoring VTR 40
Are based on low frequency component data D43A, intermediate frequency component data D43B and high frequency component data D43C for each predetermined frequency band by a motion vector detecting unit 43 built in the encoder unit 42 in advance. D44C are respectively obtained, and weighting coefficients K _{1 to} K ₃ uniquely set by a newly provided weighting circuit section 44 to trigger a change in a desired elephant as a trigger.
Is multiplied by the motion vector data D44A to D44C, respectively, and added.
8 is obtained, and when the motion vector coefficient data D48 exceeds a predetermined threshold value, the trigger signal D17 is supplied to the recording system 18 to control the recording start timing.

Thus, the monitoring VTR 40 can obtain the trigger signal D17 based on a change in the elephant subject when a person enters and exits, and also does not change the brightness and the fineness of the leaves of the plant because no person enters or exits. It is possible to prevent the trigger signal D17 from being easily generated by only a change in the movement, and to control the recording start timing of the recording system 18 based on a change in a desired subject image without wasting recording. Can be.

Therefore, in the monitoring VTR 40, recording is started only when a person enters and exits reliably, and recording is not easily started due to other unnecessary changes in the elephant. Unnecessary recording portions can be reduced by the amount, and thus the recording start timing can be controlled more precisely, and the data amount of image data to be recorded on the tape can be minimized.

According to the above configuration, the monitoring VTR 40
Is low frequency component data D43 for each predetermined frequency band.
A, motion vector data D44A to D4 based on intermediate frequency component data D43B and high frequency component data D43C.
Calculated 4C, respectively, the trigger signal based on the motion vector coefficient data D48 obtained by by connexion weighting weighting coefficient K ₁ ~K ₃ which is set unique to trigger a change in the desired subject elephant D17 Is generated and supplied to the recording system 18, the recording start timing of the recording system 18 can be more finely controlled based on a change in the desired subject image.

(3) Third Embodiment In FIG. 4, in which parts corresponding to those in FIG. 1 are assigned the same reference numerals, reference numeral 70 denotes a monitoring VTR according to the third embodiment. Is supplied to the macro block selecting section 72.

The macro block selecting section 72 includes a switch circuit 73 composed of a plurality of switches and the switch circuit 7.
3 and a plurality of flip-flops 74A to 74N connected to the plurality of switches, respectively, and the flip-flops 74A.
And a switch circuit 75 composed of a plurality of switches respectively connected to .about.74N.

The macro block selector 72 flip-flops the input motion vector data D16 for one frame via the switch circuit 73 for each macro block.
4A to 74N, respectively.

The timing of outputting the stored motion vector data D16 for each macro block is controlled by the control unit 77 in the flip-flops 74A to 74N. At the time when the data is stored, the motion vector data D16 is output to the addition circuit 76 only through the switch circuit 75 corresponding to the flip-flop selected in advance. The adder circuit 76 generates the respective motion vector data D16 corresponding to the selected macro block.
, And the resulting selected motion vector data D
72 is supplied to the shunt circuit 17.

Thus, the shunt circuit 17 outputs the motion vector data D detected based on the plurality of macroblock data D2 in a predetermined range portion in one frame.
16 selected motion vector data D72 as the sum of absolute values of 16
Is output to the recording system 18 for triggering recording when the value exceeds a predetermined threshold value.

That is, in the monitoring VTR 70 in this case, as shown in FIG. 5, the change of the subject image is detected only at the center of the image pickup area substantially at the center to be used as a trigger to control the timing of recording start. Is performed, for example, the start of recording is controlled based on the selected motion vector data D72 detected based on the macroblock data D2 in the imaging region where people enter and exit most.

In the above configuration, the monitoring VTR 70
By selecting a region used to control the timing of recording start in one frame, it is possible to prevent a malfunction such as starting recording due to a change in an elephant subject in an unnecessary imaging region. The recording start timing can be accurately controlled in accordance with a desired change in the subject elephant.

According to the above-described configuration, the monitoring VTR 70 selects a region in one frame of the image data D1 where the change of the elephant object is to be detected most, and detects the motion detected based on the macroblock data D2 of the selected region. By generating the trigger signal D17 based only on the vector data D16, it is possible to execute accurate recording start timing control based only on a desired change in the subject elephant.

(4) Other Embodiments In the above-described first to third embodiments, the motion vector detection unit 16 and 43 detect the motion vector data D16 by performing block matching for each macro block. However, the present invention is not limited to this, and the motion vector data D16 can be detected in a predetermined block unit having various other ranges, such as a super macro block in which a plurality of macro blocks are collected. You may do it.

In the above-described second embodiment,
Motion vector coefficient data D48 obtained by multiplying the weight coefficient
, And in the third embodiment, the trigger signal D17 is generated only based on the motion vector data D16 detected based on the selected macroblock data D2. Although the case has been described, the present invention is not limited to this, and both the processes in the above-described second and third embodiments may be performed. In this case, if the processing in the above-described third embodiment is performed after the processing in the above-described second embodiment is performed, the recording start timing can be more accurately controlled.

Further, in the above-described second embodiment, the values of the weighting factors k ₁ and k ₃ in the first and third weighting circuits 45 and 47 are set to “1”, and the weighting factor in the second weighting circuit 46 is set to “1”. Although the case where the value of k ₂ is set to “3” has been described, the present invention is not limited to this, and a desired weight coefficient is set according to which part of the subject elephant is set as a trigger. You may do it.

Further, in the above-described first to third embodiments, the motion vector data D16 is detected by calculating the displacement between the candidate block and the reference block based on the luminance difference value as the motion information. Although the case has been described where it is determined that the subject image has changed when the motion vector data D16 exceeds a predetermined threshold value, the present invention is not limited to this, and the luminance difference value is simply used as the motion information. If the motion information exceeds the predetermined threshold value, it may be determined that the subject image has changed.

Further, in the above-described first to third embodiments, the image data D1 picked up by the image pickup means comprising the camera section 11 is subjected to compression coding processing by the coding means comprising the encoder sections 13 and 42. At the same time, the motion vector data D16 is detected, and the image determination / recording control means comprising the shunt circuit 17 and the recording system 18 detects the motion vector data D1.
6, the fixed-length coded data D8 and D8 'compressed and coded when a change in the subject image is detected are described. However, the present invention is not limited to this. The recording means may be recorded on another recording medium such as a disk-shaped recording medium by the imaging means, the encoding means and the image determination recording control means.

[0076]

As described above, according to the present invention, the motion information detected by the encoding means is used for the compression encoding of the image data and also for the judgment of the change of the elephant subject. By recording on the recording medium when the change of the subject elephant is detected, it is possible to realize a monitoring recording device capable of controlling the start of recording based on the change of the subject elephant with a simple configuration.

[Brief description of the drawings]

FIG. 1 is a monitoring VT according to a first embodiment of the present invention.
FIG. 3 is a block diagram showing a configuration of R.

FIG. 2 is a block diagram showing a configuration of an encoder unit.

FIG. 3 shows a monitoring VT according to a second embodiment of the present invention.
FIG. 3 is a block diagram showing a configuration of R.

FIG. 4 is a monitoring VT according to a third embodiment of the present invention.
FIG. 3 is a block diagram showing a configuration of R.

FIG. 5 is a schematic diagram illustrating weight coefficient allocation.

[Explanation of symbols]

10, 40, 70 ... monitoring VTR, 11 ... camera unit, 12, 41, 71 ... VTR unit, 13, 42 ... encoder unit, 14 ... preprocessing unit, 15 ... compression processing unit,
16, 43... Motion vector detection unit, 17... Shunt circuit, 18... Recording system, 44.
2. Macro block selection unit 77: Control unit

Claims (4)

[Claims] 1. A monitoring recording apparatus for recording an image obtained by capturing an image of a predetermined monitoring area for monitoring, comprising: an imaging unit that generates image data by capturing an image of the monitoring area; Motion information of the monitoring area is detected based on a plurality of pieces of image data at different timings among the captured image data of the monitoring area, and the image data output from the imaging unit is compressed based on the motion information. Encoding means for encoding, and when a change is detected in the image data of the monitoring area based on the motion information, the encoded data compressed and encoded by the encoding means is recorded on a predetermined recording medium. A monitoring recording device comprising: an image determination recording control unit. 2. The encoding means detects the motion information by calculating a luminance difference value in the plurality of image data, and the image determination and recording control means determines that the motion information exceeds a predetermined threshold value. 2. The monitoring recording apparatus according to claim 1, wherein a change in the image data is detected when the image data is detected. 3. The encoding means detects motion information for each predetermined frequency band based on the image data of the monitoring area, and performs desired weighting on the motion information for each frequency band. 2. The monitoring recording apparatus according to claim 1, wherein the motion information is detected by detecting the motion information. 4. The coding means detects the motion information for each block consisting of a predetermined number of pixels × a predetermined number of lines in a desired area portion of one frame in the image data of the monitoring area, and The recording apparatus according to claim 1, wherein the recording control unit detects a change in the image data based only on the motion information in the area.