JPH0793558A - Image monitoring device - Google Patents

Abstract

PURPOSE:To easily confirm what an extracted mobile object is by magnifying and displaying the mobile object. CONSTITUTION:A background difference is taken between the background image image picked-up by an ITV camera 1 and fetched in a background image memory 13 and the image image picked-up by the same ITV camera 1 and fetched in a fetch image memory 11 after prescribed time, a mobile object is extracted in a mobile object extraction part 15, this mobile object is image picked-up by magnifying it by an ITV camera 8 with swivel base in accordance with the control of a swival base control part 17 and the image is displayed on a zoom screen display device 9.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an image monitoring apparatus for detecting an object invading a surveillance area and confirming what the object is.

[0002]

2. Description of the Related Art As an image monitoring apparatus of this type, for example,
The following are known. That is, the image in the monitoring area is captured by the ITV camera and converted into an electric signal. The image signal from the ITV camera is converted into digital data and then sequentially input to the image memory. In this way, the change region is cut out by performing the difference calculation and the binarization calculation process on the plurality of images input in time series and the image captured as the background image. Then, a rectangle circumscribing this change area is obtained, and if the size of the rectangle is larger than a certain value (threshold value of the number of pixels), it is determined that a moving object is extracted, and an alarm device or the like is activated. It is a thing.

[0003]

In the above-mentioned conventional image monitoring apparatus, when the monitoring area is imaged by the ITV camera using the wide-angle lens, the moving object is imaged in a small size. Therefore, even if the moving object is detected. The problem was that it was difficult to identify what it was.

SUMMARY OF THE INVENTION Therefore, an object of the present invention is to provide an image monitoring apparatus capable of easily confirming what a detected moving object is.

[0005]

SUMMARY OF THE INVENTION An image monitoring apparatus of the present invention comprises a first image pickup means for picking up an image in a monitoring area, and a digital image by continuously taking in the image picked up by the first image pickup means. When the moving object is extracted by the moving object extracting means and the moving object extracting means for extracting the moving object in the monitoring area by processing the converting means for converting the image digitized by the converting means. A second image pickup means for magnifying and picking up the moving object, and a display means for displaying the image picked up by the second image pickup means.

The image monitoring apparatus of the present invention further comprises a first image pickup means for picking up an image in the monitoring area, a first display means for displaying the image picked up by the first image pickup means, and A conversion unit that continuously captures and digitizes the images captured by the first imaging unit, and a moving object that extracts the moving object in the monitoring area by processing the image digitized by the conversion unit. Extraction means,
When the moving object is extracted by the moving object extraction means, a second image pickup means for enlarging and picking up the moving object, and a second display means for displaying the image picked up by the second image pickup means. Teaching means for teaching a position with respect to the image displayed by the first display means, and control means for controlling the second imaging means so as to magnify and image the position taught by the teaching means. It is equipped with.

Further, the image monitoring apparatus of the present invention comprises a first image pickup means for picking up an image in the monitoring area, and a conversion means for continuously fetching and digitizing the image picked up by the first image pickup means. And a moving object extracting means for extracting a moving object in the monitoring area by processing the digitized image by the converting means, and the moving object when the moving object is extracted by the moving object extracting means. A second image pickup means for magnifying and picking up the image, a display means for displaying an image picked up by the second image pickup means, and a moving object not extracted by the moving object extraction means, within the monitoring area. And a control means for controlling the second imaging means so as to image a specific area set in advance.

The image monitoring apparatus of the present invention further comprises a first image pickup means for picking up an image in the monitoring area, a conversion means for continuously fetching and digitizing the images picked up by the image pickup means, and Moving object extracting means for extracting the moving object in the monitoring area by processing the digitized image by the converting means, and when the moving object is extracted by the moving object extracting means, depending on the moving object A magnifying power calculating means for calculating a magnifying power; a second image sensing means for magnifying and imaging the moving object extracted by the moving object extracting means based on the magnifying power calculated by the magnifying power calculating means; Display means for displaying the image captured by the second image capturing means.

Further, the image monitoring apparatus of the present invention comprises a first image pickup means for picking up an image in the monitoring area, and a conversion means for continuously fetching and digitizing the image picked up by the first image pickup means. And a moving object extracting means for extracting a moving object in the monitoring area by processing the digitized image by the converting means, and the moving object when the moving object is extracted by the moving object extracting means. Characteristic part extracting means for extracting the characteristic part, and second imaging means for enlarging and imaging the characteristic part extracted by the characteristic part extracting means when the moving object is extracted by the moving object extracting means, Display means for displaying the image captured by the second image capturing means.

Further, the image monitoring apparatus of the present invention comprises a first image pickup means for picking up an image in the monitoring area, and a conversion means for continuously fetching and digitizing the images picked up by the first image pickup means. And a moving object extracting means for extracting the moving object in the monitoring area by processing the digitized image by the converting means, and the moving object when the moving object is extracted by the moving object extracting means. A plurality of second image pickup means for magnifying and picking up the image and a display means for displaying an image picked up by the plurality of second image pickup means.

[0011]

The moving object is extracted from the image of the monitoring area picked up by the first image pickup means, and the extracted moving object is set as the second moving object.
It is possible to easily confirm what the extracted moving object is by enlarging and picking up the image by the image pickup means and displaying the enlarged image on the display means.

[0012]

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

FIG. 2 shows an image monitoring apparatus according to an embodiment of the present invention. That is, for example, the ITV camera 1 as the first image capturing unit captures an image in the monitoring area 7 and converts it into an electric signal. The image signal captured by the ITV camera 1 is sent to the processing device 3 and the display device 4 via the transmission line 2. The display device 4 is the ITV camera 1.
The processing device 3 continuously captures the images captured by the ITV camera 1, and performs image processing and determination for detecting a moving object. As a result, when a moving object is detected, the moving object detection is displayed on the screen of the display device 4, an alarm sound is emitted by the alarm device 5, and the second image pickup means, for example, the ITV camera 8 with a swivel base. Is controlled to zoom in and image the moving object, and the image is displayed on the zoom screen display device 9.

FIG. 1 schematically shows a main part of the above-mentioned image monitoring apparatus. The same parts as those in FIG. 2 will be described with the same reference numerals. In the figure, the image signal from the ITV camera 1 is converted into a digital signal by the A / D converter 10 at regular time intervals, and is captured as image data in the captured image memory 11 and, at the same time, sent to the background update control unit 12. .

The background update control unit 12 controls the image data sent from the A / D converter 10 as background image data into the background image memory 15 in accordance with the preset background update timing. However, the initial background image is taken in at the time of starting the apparatus, and when the signal indicating that the moving object is extracted is received from the moving object extraction unit 15, the background update control is not performed.

The background image memory 13 includes a background update controller 1
Under the control of No. 2, the image data sent from the A / D converter 10 is taken in as background image data.

The change area extracting unit 14 is provided in the background image memory 1
The background difference between the background image data captured in No. 3 and the image data newly captured in the captured image memory 11 after a predetermined time is calculated, and the changed area of the image is extracted. That is, as shown in FIGS. 3 and 4, the background image memory 13
The background image (see FIG. 3a) that is in and the time t = t _i
The difference between the image data (see FIG. 3b) captured in the captured image memory 11 (see FIG. 3b) is calculated on a pixel-by-pixel basis, and the obtained difference image (see FIG. 4a) is set to a certain fixed value (threshold value). The change region 30 is extracted as a difference binarized image (see FIG. 4b) by binarizing with.

FIG. 5 and FIG. 6 show this state by the luminance value of each pixel. FIG. 5A shows the background image image data stored in the background image memory 13 by the brightness value in pixel units, and FIG. 5B shows the image data captured at time t = t _i. The brightness value is expressed in pixel units. Differences such as brightness in FIGS. 5A and 5B are calculated in pixel units to generate difference data (see FIG. 6A).
Pixels whose difference data is greater than or equal to a predetermined threshold are "1",
Pixels below a predetermined threshold are binarized as "0", and as a result, differential binarized data (see FIG. 6b) in which the pixels in the change region are detected as "1" are obtained.

The moving object extraction unit 15 includes a changed area extraction unit 1
A moving object is extracted by obtaining a rectangle circumscribing the change area extracted in 4. An example thereof will be described with reference to FIGS. 7, 8 and 9. In this example, a moving object is extracted using projection. First, the change area 30 extracted as a binarized image is projected on the x axis (horizontal axis) (see FIG. 7). Next, a projection is taken on the y-axis (vertical axis) at a position where the projection value is larger than a certain fixed value (threshold value of the number of pixels) (see FIG. 8). Next, if the change area of the x and y axes is expanded for the area having a certain projection value (threshold value of the number of pixels) or more, a rectangle surrounding the change area is obtained, and the moving object 31 is obtained. (See Figure 9).

It is also possible to extract a moving object using labeling, an example of which will be described with reference to FIGS. 10, 11 and 12. This is done by assigning a serial number (labeling) to a closed area (see FIG. 10) in which the value of the change area 30 extracted as a binarized image is “1” and obtaining the area and distance of each partial area. A grouped area is extracted, and a shape, an area having a value of “1”, and the like are calculated in the area to obtain a rectangle surrounding the changed area (see FIG. 11). If the size of the rectangle thus obtained is larger than a certain fixed value (a threshold value of the number of pixels), it means that the moving object 31 is extracted (see FIG. 12). Then, the alarm device 5 is started.

The display control unit 16 includes a captured image memory 11
When the signal indicating that the moving object is detected is received from the moving object extraction unit 15 while controlling the display device 4 to display the image captured by the display device 4, the image captured by the captured image memory 11 is displayed on the display device. In addition to being displayed on FIG. 4, a figure, a character or the like for notifying detection of a moving object is displayed.

The swivel control unit 17 includes a moving object extraction unit 15
When a signal indicating that a moving object is detected and various information are received from the device, the position of the extracted moving object is obtained, and the rotation angle (pan direction rotation angle θ, And a rotation angle φ in the tilt direction, and an enlargement ratio (hereinafter referred to as a zoom value) for zooming from the size of the extracted moving object, and the ITV camera 8 with a swivel base is controlled.

Next, various controls performed by the swivel control unit 17 will be described.

To determine the position of a moving object, for example,
As shown in FIG. 13, the cumulative number of pixels of the moving object 31 is x
It is obtained by performing calculations in the axial direction and the y-axis direction, and obtaining the values x0 and y0 of x and y corresponding to the cumulative number that coincides with the half value of the total number of pixels, respectively.

In order to obtain the rotation angle of the swivel base from the position of the moving object, for example, a conversion table that associates the position (x, y) of the moving object 31 with the rotation angle (θ, φ) of the swivel base is prepared in advance. When the position of the moving object 31 is given, the rotation angle of the swivel base is uniquely determined.

The ITV camera 1 picks up an image of a moving object, the moving object extracting unit 15 extracts the moving object, and then the swivel base of the ITV camera 8 with a swivel base is swiveled. The time Δt until the imaging of the imaging region is expressed by the following equation.

Δt = t_detect + max (Δθ / pan_speed, Δφ / tilt_speed) (1) In the equation (1), t_detect captures an image of a moving object with the ITV camera 1 and moves it with the moving object extraction unit 15. The time required to extract an object, Δθ is the amount of movement in the pan direction, Δφ is the amount of movement in the tilt direction, pan_speed is the pan speed of the swivel base, and tilt_speed is the tilt speed of the swivel base.

In order to shorten the time Δt expressed by the equation (1), the position of the moving object after Δt is predicted, the rotation angle of the swivel with respect to that position is calculated, and the swivel is rotated. The predicted position (x_predict, y_preddict) of the moving object after Δt after the image is captured by the ITV camera 1 is (x_old,
y_old), this time position is (x_now, y_now), I
The imaging interval for imaging the surveillance area 7 with the TV camera 1 is t_sa.
As mple, x_predict = x_now + (x_now−x_old) / t_sample × Δt (2) y_predict = y_now + (y_now−y_old) / t_sample × Δt (3) can be calculated.

In order to shorten the time Δt expressed by the equation (1), the value of the second term of the equation (1) is reduced, so that the ITV camera with swivel base 8 can move the moving object faster after extracting the moving object. Can be caught.

First, the ITV camera 8 with a swivel base is placed at a place where objects in the surveillance area 7 are likely to enter.
Initial state (setting state of the ITV camera 8 with a swivel base when no moving object is extracted by the moving object extraction unit 15)
It is conceivable to set the image pickup area of, and its method will be described with reference to FIGS. 14 to 17.

At time t = ti, the ITV camera 8 with swivel base is set to capture an image of the image pickup area in the initial state, and the image pickup area 4 of the ITV camera 8 with swivel base at that time is set.
1 shows the door 40 (see FIG. 14a).

Since the moving object 31 comes out of the door 40 at the time t = ti + 1 (see FIG. 14b), the time t = ti +.
4 is tracked by the ITV camera 8 with a swivel base, and the situation is represented by an imaging region 41 of the ITV camera 8 with a swivel base shown in FIGS. 15 (a), 15 (b) and 16 (a).

When the moving object 31 disappears at time t = ti + 5, the camera with swivel base 8 sets the image pickup area 41 in the initial state in the same manner as at time t = ti, which is set in advance, as at time t = ti. An image is taken (see FIG. 16b).

As shown in FIGS. 14 (a) and 16 (b), the image pickup area 40 in the initial state is set to a portion (door 40 in this embodiment) where a moving object has a high probability of entering. Therefore, when a moving object enters at time t = ti + 7 (see FIG. 17b) from a state where there is no moving object at time t = ti + 5 and time t = ti + 6 (see FIGS. 16b and 17a), it is not necessary to move the swivel base. Therefore, the time Δt expressed by the equation (1) can be shortened.

If there are a plurality of places in the monitoring area 7 where the probability that an object will come in is high, the amount of movement of the swivel table for picking up an image of each place by the ITV camera with swivel table 8 will be described. The place where the total sum is minimum may be set as the image pickup area in the initial state. At this time, the place where the object is likely to enter is weighted based on its probability, or based on its priority, the movement amount of the swivel base is calculated. A small area may be set as the image pickup area in the initial state.

Next, alignment of the ITV camera 1 and the ITV camera 8 with a swivel base using a specific area in the monitoring area 7 will be described with reference to FIGS.

In this case, as shown in FIG. 18, the monitor area 7 imaged by the ITV camera 1 is displayed on the display device 4, and the teaching frame 45 for teaching a specific area is displayed. Next, the teaching frame 45 is used to teach the area to be enlarged in the monitoring area 7, the ITV camera 8 with a swivel base is moved, and the area to be enlarged is imaged and displayed on the zoom screen display device 9 at a plurality of positions. The alignment is performed by performing the above.

In order to create the conversion table, first, the teaching frame 45 displayed together with the monitoring area 7 on the display device 4 is displayed.
Is set in the upper left part of the monitoring area 7 as shown in FIG. 18, and the position (x1, y1) is read. Then, as shown in FIG. 19, the swivel is manually operated so that the center of the image displayed on the zoom screen display device 9 becomes the position taught by the teaching frame 45, and the rotation angle (at that time) Read θ1, φ1).

Such an operation can be performed on several pixels in the image of the monitoring area 7, and the other areas can be obtained by mathematically calculating from the measured position and rotation angle. A conversion table that associates the position (x, y) of each pixel in the monitoring area with the rotation angle (θ, φ) of the swivel is completed.

In this embodiment, the teaching frame 45 is further shown in FIG.
As shown in FIG. 8, it is set in the lower right part of the monitoring area 7, and the position (x2, y2) is read. Then, as shown in FIG. 20, the swivel base is manually operated so that the center of the image displayed on the zoom screen display device 9 is at the position taught by the teaching frame 45, and the rotation angle at that time ( θ2,
Read φ2).

The point (x1, y1) in the upper left portion, the rotation angle (θ1, φ1) of the swivel base at this time, and the point (x in the lower right portion)
2, y2) and the rotation angle of the swivel base at this time (θ2, φ2)
Then, when the rotation angle (θ, φ) of the swivel base at the other points (x, y) is obtained by linear interpolation, θ = {(θ2-θ1) × (x + x1)} / (x2-x1) (4 ) Φ = {(φ2-φ1) × (y + y1)} / (y2-y1) (5)

According to the size of the moving object displayed on the display screen 4, it is possible to obtain the zoom value when the moving object is imaged by the ITV camera 8 with a swivel base. This method will be described with reference to FIGS.

FIG. 21A shows a display example of the display device 4.
The moving object 31 is displayed.

FIG. 21B shows a display example of the zoom screen display device 9 at the maximum zoom. The width and height of the extraction screen that can be displayed at the maximum zoom are (Wmax, Hmax) and the zoom value of the maximum zoom is Zmax. And

FIG. 22A shows a display example of the zoom screen display device 9 at the minimum zoom. The width and height of the extraction screen that can be displayed at the minimum zoom are (Wmin, Hmin), and the zoom value of the minimum zoom is Zmin. And

In this case, as shown in FIG.
The zoom value Zx when the width and height of the moving object are (Wx, Hx) is obtained.

First, when the zoom value Zw of the width is obtained, Wm
When in ≧ Wx ≧ Wmax Zw = (Zmax−Zmin) × (Wx−Wmin) / (Wmax−Wmin) (6) When Wx <Wmax, Zw = Zmax (7) When Wmin <Wx, Zw = Zmin (8)

When the zoom value Zh of the width is calculated, Hmin ≧
When Hx ≧ Hmax Zh = (Zmax−Zmin) × (Hx−Hmin) / (Hmax−Hmin) (9) When Hx <Hmax, Zh = Zmax (10) When Hmin <Hx, Zh = Zmin … (11)

Therefore, Zx can be calculated by Zx = min (Zw, Zh) (12).

In the above description, the position of the extracted moving object 31 is obtained by the method shown in FIG. 13. However, when the monitoring target is determined, it is assumed that the moving object is the monitoring target, The position of the characteristic part of the object is set to the moving object 31.
The position may be.

For example, if the monitoring target is a human as shown in FIG. 23, a face should exist above the circumscribed rectangle 50 of the moving object 31 shown in FIG. By zooming with the ITV camera with swivel base 8 with the upper part of 50 as the position of the moving object 31, the IT with swivel base is displayed on the zoom screen display device 8.
The imaging area 41 of the V camera 8 is displayed (see FIG. 25). Then, by looking at the video, the person can determine who the person is.

If the object to be monitored is an automobile as shown in FIG. 26 (a), a license plate is extracted from the image captured by the ITV camera 1 by the method of Japanese Patent Laid-Open No. 60-193084, If the center is zoomed as the position of the moving object, the imaging area 41 of the zoom screen display device 8 becomes as shown in FIG.
Highly accurate license plate recognition is possible using the image.

When a plurality of moving objects are extracted in the monitoring area 7, the ITV camera 8 with a swivel base can pick up only one moving object, so it is necessary to select which object to pick up. As a method of this selection, for example,
It is conceivable that priorities are determined in accordance with rules such as an object that has entered the surveillance area earlier in time, an intruder that has a higher priority, an intruder that has a higher priority, and an object with a higher priority is selected.

27 to 30 show an example of tracking by the ITV camera 8 with a swivel base when a plurality of moving objects are extracted in the monitoring area 7.

At time t = ti, the ITV camera 8 with a swivel base is set to capture an image of the imaging area 41 in the initial state, and the imaging area 41 of the ITV camera 8 with a swivel base at that time is set.
Shows the door 40 (see Fig. 27a). That is, the object that enters through the door 40 has the highest priority.

Since the moving object 31 has entered from the door 40 at time t = ti + 1 (see FIG. 27b), time t =
The ITV camera with swivel base 8 tracks up to ti + 4, and the state is represented by an imaging region 40 of the ITV camera with swivel base 8 shown in FIGS. 28 (a), 28 (b), and 29 (a). During this time, the moving object 32 invades at time t = ti + 2, but the moving object 31 has a higher priority, so the moving object 31 is continuously tracked until the moving object 31 disappears from the monitoring area.

When the moving object 31 and the moving object 32 disappear at time t = ti + 5, the camera with swivel base 8 picks up an image of the preset imaging area in the initial state in the same manner as at time t = ti (see FIG. 29b). ).

At time t = ti + 6, the moving object 31 and the moving object 32 intrude again. However, since the moving object 31 has a higher priority, the ITV camera 8 with a swivel base picks up an image of the moving object 31 and detects the time. Trace to t = ti + 7 (see FIGS. 30a, b).

When a plurality of moving objects are extracted in the monitoring area 7, when there are a plurality of ITV cameras 8 with swivel bases, the ITV cameras 8 with swivel bases are displayed in descending order of priority.
ITV camera with swivel base 8
Can be used effectively.

As described above, according to the above-described embodiment, the moving object is extracted from the image of the monitoring area 7 imaged by the ITV camera 1, and the moving object is controlled by the swivel base control unit 17 to control the swivel base. It is possible to easily confirm the extracted moving object by enlarging and capturing the image with the attached ITV camera 8 and displaying the image on the zoom image display device 9.

In the above embodiment, the enlargement ratio is changed according to the size of the moving object. However, the type of the moving object is discriminated and the type (for example, car / person / dog) is determined. The magnification rate may be changed.

[0062]

As described above in detail, according to the present invention, it is possible to provide an image monitoring apparatus in which it is easy to confirm what a moving object is by enlarging and displaying the extracted moving object.

[Brief description of drawings]

FIG. 1 is a block diagram showing a configuration of a main part of an image monitoring apparatus according to an embodiment of the present invention.

FIG. 2 is a diagram schematically showing an image monitoring device according to an embodiment of the present invention.

FIG. 3 is a diagram illustrating a method of extracting a change area based on a background difference.

FIG. 4 is a diagram illustrating a method of extracting a change area based on a background difference.

FIG. 5 is a diagram illustrating a method of extracting a moving object.

FIG. 6 is a diagram illustrating a method of extracting a moving object.

FIG. 7 is a diagram illustrating a method of extracting a moving object.

FIG. 8 is a diagram illustrating a method of extracting a moving object.

FIG. 9 is a diagram illustrating a method of extracting a moving object.

FIG. 10 is a diagram illustrating a method of extracting a moving object.

FIG. 11 is a diagram illustrating a method of extracting a moving object.

FIG. 12 is a diagram illustrating a method of extracting a moving object.

FIG. 13 illustrates a method of obtaining the position of a moving object.

FIG. 14 is a diagram illustrating a method in which an ITV camera with a swivel base 8 tracks a moving object.

FIG. 15 is a diagram illustrating a method in which an ITV camera with a swivel base 8 tracks a moving object.

FIG. 16 is a diagram illustrating a method in which an ITV camera with a swivel base 8 tracks a moving object.

FIG. 17 is a diagram illustrating a method in which the ITV camera with a swivel base 8 tracks a moving object.

FIG. 18 is a diagram illustrating a method of creating a conversion table using a teaching frame.

FIG. 19 is a diagram illustrating a method of creating a conversion table using a teaching frame.

FIG. 20 is a diagram illustrating a method of creating a conversion table using a teaching frame.

FIG. 21 is a diagram illustrating a method of obtaining a zoom ratio.

FIG. 22 is a diagram illustrating a method of obtaining a zoom ratio.

FIG. 23 is a diagram illustrating a zooming method when a monitoring target is a human.

FIG. 24 is a diagram illustrating a zooming method when a monitoring target is a human.

FIG. 25 is a diagram illustrating a zooming method when a monitoring target is a human.

FIG. 26 is a diagram illustrating a zooming method when a monitored object is an automobile.

FIG. 27: IT with swivel base when there are multiple moving objects
The figure explaining the tracking method of the V camera 8.

FIG. 28: IT with swivel base when there are multiple moving objects
The figure explaining the tracking method of the V camera 8.

FIG. 29: IT with swivel base when there are multiple moving objects
The figure explaining the tracking method of the V camera 8.

FIG. 30: IT with swivel base when there are multiple moving objects
The figure explaining the tracking method of the V camera 8.

[Explanation of symbols]

DESCRIPTION OF SYMBOLS 1 ... ITV camera (imaging means), 2 ... transmission path, 3 ... processing device, 4 ... display device, 5 ... alarm device, 7 ... monitoring area, 8
... ITV camera with swivel base, 9 ... Zoom screen display device,
10 ... A / D converter, 11 ... Captured image memory, 12
... background update control unit, 13 ... background image memory, 14 ... change area extraction unit, 15 ... moving object extraction unit, 16 ... display control unit, 17 ... turning base control unit, 30 ... change area, 31 ... moving object, 32 ... moving object, 40 ... door, 41 ... imaging area of ITV camera 8 with swivel base, 45 ... teaching frame, 50 ... circumscribing rectangle of moving object 31.

Claims (6)

[Claims] 1. A first image pickup means for picking up an image in a monitoring area, a conversion means for continuously fetching and digitizing an image picked up by the first image pickup means, and a digitization by this conversion means. A moving object extracting means for extracting a moving object in the monitoring area by processing the captured image; and a moving object extracted by the moving object extracting means, the moving object is enlarged and imaged. 2. An image monitoring device, comprising: the image pickup means and the display means for displaying the image picked up by the second image pickup means. 2. A first image pickup means for picking up an image in the monitoring area, a first display means for displaying the image picked up by the first image pickup means, and an image picked up by the first image pickup means. Converting means for continuously capturing and digitizing the captured image, moving object extracting means for extracting the moving object in the monitoring area by processing the image digitized by the converting means, and the moving object extracting means. When a moving object is extracted by the means, a second image pickup means for enlarging and picking up the moving object, a second display means for displaying an image picked up by the second image pickup means, and the first Teaching means for teaching a predetermined position with respect to the image displayed by the display means, and control means for controlling the second imaging means so as to magnify and image the position taught by the teaching means. Be equipped with Image monitoring apparatus characterized by performing the first imaging means and the positioning of the second imaging means. 3. A first image pickup means for picking up an image in the monitoring area, a conversion means for continuously taking in and digitizing the images picked up by the first image pickup means, and a digitalization by the conversion means. A moving object extracting means for extracting a moving object in the monitoring area by processing the captured image; and a moving object extracted by the moving object extracting means, the moving object is enlarged and imaged. Image pickup means, display means for displaying the image picked up by the second image pickup means, and when a moving object is not extracted by the moving object extraction means, a specific area preset in the monitoring area is displayed. An image monitoring apparatus comprising: a control unit that controls the second image capturing unit to capture an image. 4. A first image pickup means for picking up an image in the monitoring area, a conversion means for continuously taking in the images picked up by the image pickup means and digitizing the image, and an image digitized by the converting means. And a moving object extracting unit for extracting a moving object in the monitoring area, and a moving object extracting unit for calculating a magnifying power according to the moving object when the moving object is extracted by the moving object extracting unit. Means and based on the enlargement ratio calculated by this enlargement ratio calculating means,
A second image pickup means for enlarging and picking up the moving object extracted by the moving object extraction means; and a display means for displaying an image picked up by the second image pickup means. Image monitoring device. 5. A first image pickup means for picking up an image in the monitoring area, a conversion means for continuously fetching and digitizing the images picked up by the first image pickup means, and a digitization by the conversion means. A moving object extracting means for extracting a moving object in the monitoring area by processing the captured image, and a characteristic part for extracting a characteristic part of the moving object when the moving object is extracted by the moving object extracting means. Extraction means, second imaging means for enlarging and imaging the characteristic part extracted by the characteristic part extraction means when the moving object is extracted by the moving object extraction means, and imaging by the second imaging part An image monitoring apparatus comprising: a display unit that displays the captured image. 6. A first image pickup means for picking up an image in a surveillance area, a conversion means for continuously taking in and digitizing the images picked up by the first image pickup means, and a digitalization by the conversion means. A moving object extracting means for extracting a moving object in the monitoring area by processing the captured image; and when the moving object is extracted by the moving object extracting means, a plurality of moving object magnifying images are taken. An image monitoring apparatus comprising: a second image pickup means; and a display means for displaying an image picked up by the plurality of second image pickup means.