JP2010068120A - Monitoring system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To improve identification performance of an object to be monitored by using a plurality of monitoring cameras. <P>SOLUTION: An monitoring system performs the illumination adjustment of light irradiated to a monitoring range by controlling the drive of illumination devices 7 and attached facilities 9 prepared corresponding to an imaging device 3 in order to suppress the black collapse and white halation of an image photographed by one of imaging cameras 3 which becomes a reference among the imaging cameras 3 in each monitoring range. The system controls spectral distribution characteristics of illumination by the illumination devices 7 prepared corresponding to the imaging devices 3 in order to bring a color of the object to be monitored expressed in the photographed image to be close to the actual color. If a color of an image photographed by the reference imaging device 3 and a color of an image photographed by other imaging devices 3 are uniform, an object identification processing unit 53 performs the identification processing of the object to be monitored which pass monitoring ranges of the imaging devices 3 based on images photographed by the imaging devices 3. <P>COPYRIGHT: (C)2010,JPO&INPIT

Description

  The present invention relates to a monitoring system that identifies a monitoring object based on images taken at a plurality of locations.

  Conventionally, for example, a plurality of surveillance cameras are installed in a large building for the purpose of crime prevention.

When the building described above is a large-scale store such as a department store, surveillance cameras are installed at entrances, sales floors, passages, and the like (see, for example, Patent Document 1).

  In the store, it is desirable to provide a mechanism for constantly grasping where in the store a monitoring object, here, a suspicious person or the like is located. However, since it is difficult to closely arrange the monitoring cameras in the store, there is an unmonitored area.

Therefore, it is necessary to specify the person to be monitored and tracked from the images for each of the monitoring cameras provided in a plurality of locations, and the person to be monitored and tracked can be specified without depending on the monitor. An image processing technique for face recognition can be considered as an automatic technique.
However, since the person in the image does not always face the front of the surveillance camera, it is difficult to actually identify the suspicious person even if the face recognition image processing technique is applied.

Therefore, as a technique for identifying a suspicious person without using image processing technology for face recognition, a plurality of surveillance cameras are prepared, and based on color information of human clothes included in images captured by the respective cameras, There is a technique for identifying a person included in each image in common between cameras.
JP 7-45370 A

  In order to identify a monitoring object based on color, it is necessary to match color characteristics among a plurality of monitoring cameras. However, since the color of the image differs for each monitoring camera in the conventional illumination environment, there is a problem that the accuracy of identification is lowered.

  A specific example in which the color of the image differs from camera to camera is that when the influence of external light is strong, bright and dark areas occur in the image, and the image is crushed and whiteout occurs. It may be reduced.

  As another specific example, when a certain monitoring object is reflected on a plurality of monitoring cameras at different installation locations, the color of the same monitoring object differs depending on the lighting environment around the monitoring camera. It may be visible, that is, the image may have different color between the surveillance cameras, or the color of the image may vary due to the different types of illumination around the surveillance cameras with different installation locations. Can be mentioned. In particular, when the illumination is, for example, a fluorescent lamp, there are many types, and there are three basic classifications: white, day white, and daylight.

In order to make the colors of a plurality of cameras having different installation locations uniform, it is conceivable to perform white balance and other settings of the monitoring camera or spectral image processing for removing the influence of external light and illumination.
However, when color adjustment is performed by setting the monitoring camera, variations tend to occur. In addition, when performing spectral image processing, it is not easy to appropriately estimate the influence of the light source.

  From the above, with the conventional method, it is difficult to increase the accuracy of identification of the monitoring object by making the color between the monitoring cameras uniform.

  Therefore, an object of the present invention is to provide a monitoring system that can improve the accuracy of identification of a monitoring object by using a plurality of monitoring cameras.

  That is, the monitoring system according to the present invention includes a plurality of imaging devices for imaging a monitoring target, an illumination device that illuminates an imaging range of each imaging device, and a color of an image captured by each imaging device. The state of the illumination light illuminated onto the imaging range is controlled by an illumination device corresponding to each of the imaging devices so that the characteristic is a color property that satisfies a condition that allows identification of the monitoring target included in the image. And an illumination control means.

  ADVANTAGE OF THE INVENTION According to this invention, the precision of the identification of the monitoring target object by using a some monitoring camera can be improved.

Embodiments of the present invention will be described below with reference to the drawings.
FIG. 1 is a block diagram illustrating a configuration example of a monitoring system according to an embodiment of the present invention.
As shown in FIG. 1, the monitoring system according to the embodiment of the present invention includes a control unit 1 that controls the entire processing operation, an image input unit 2, an imaging device 3, a storage device 4, an image processing unit 5, an illuminance control unit 6, The lighting device 7, the incidental facility control unit 8, the incidental facility 9, and the display device 10 are provided and are connected to each other by a bus 11.

FIG. 2 is a diagram illustrating an example of an installation form of the monitoring system according to the embodiment of the present invention.
The imaging device 3 of this monitoring system is a so-called monitoring camera, and is installed in each of a plurality of monitoring ranges of a person who is a monitoring object, here, a plurality of areas in a store floor, as shown in FIG. The Examples of the plurality of areas in the store floor include the vicinity of a window, the room, and a hallway. The imaging device 3 monitors a person who is a monitoring target by imaging each monitoring range.

  The illumination device 7 is provided in each of the monitoring ranges described above, and illuminates the imaging range of the imaging device 3 in the monitoring range. The image input unit 2 inputs a monitoring image that is an image captured by each imaging device 3.

  The image processing unit 5 identifies the monitoring object that has passed through the monitoring range of each imaging device 3. In the example shown in FIG. 2, there are three monitoring ranges, but the number of these locations is not particularly limited. Moreover, a part of each monitoring range and the imaging range by each imaging device 3 may overlap.

Further, the incidental equipment 9 is, for example, a curtain or a blind, and is provided in each of the above-described monitoring ranges, and is a light-shielding equipment that can be opened and closed to adjust light illuminated by the imaging range of the imaging device 3 in the monitoring range. It is.
The storage device 4 is a storage medium such as a non-volatile memory, and stores programs for processing operations of the image input unit 2, the image processing unit 5, the illuminance control unit 6, and the incidental equipment control unit 8. A reference captured image having a good color rendering property is stored.

The image processing unit 5 includes a first determination unit 51, a second determination unit 52, and an object identification processing unit 53, and various types for identifying a monitoring object based on an image input by the image input unit 2. Perform processing.
The first determination unit 51 determines whether or not there is a predetermined bias in the luminance distribution and color distribution of the image input by the image input unit 2 from the imaging device 3.
The second determination unit 52 determines whether or not the spectral distribution characteristics of the illumination device 7 are insufficient or biased based on the image input from the imaging device 3 by the image input unit 2. The case where there is this deficiency or bias refers to a case where there are both wavelengths of intensity below a predetermined reference value and wavelengths above the reference value in the spectral distribution characteristics.

  When the determination result by the first determination unit 51 or the second determination unit 52 is a determination result that color is recognized to be uniform among the imaging devices 3, the object identification processing unit 53 The monitoring object is identified based on the color included in the image from each imaging device 3 input by 2.

  In the illuminance control unit 6, the determination result by the first determination unit 51 or the second determination unit 52 of the object identification processing unit 53 is not a determination result that the color is recognized to be uniform among the imaging devices 3. In this case, the lighting device 7 controls the lighting mode, for example, ON / OFF control or irradiation direction control, so that the above-described determination result is a determination result in which the color is recognized to be uniform among the imaging devices 3. Or the auxiliary equipment control unit 8 is controlled to open and close the curtains and blinds that are the auxiliary equipment 9.

The illumination device 7 uses, for example, illumination that controls spectral distribution characteristics by controlling driving power, such as an incandescent lamp, or a combination of illuminations having different spectral distribution characteristics.
The illuminating device 7 is, for example, a combination of LEDs (light emitting diodes) of RGB that are light primary colors, and the illuminance control unit 6 controls the lighting mode of the LEDs of each RGB color of the illuminating device 7 individually. The spectral distribution characteristics of illumination by the illumination device 7 can be controlled to desired characteristics.

  The illumination device 7 may be a combination of fluorescent lamps having different spectral distribution characteristics. In this case, the illuminance control unit 6 can control the spectral distribution characteristics of illumination by the illumination device 7 by individually controlling the lighting modes of these fluorescent lamps.

  The display device 10 is, for example, a liquid crystal display, and displays a captured image showing the monitoring target identification processing result. The monitoring object specified by the identification process in the captured image is distinguished by surrounding it with a frame as shown in FIG.

Next, the operation of the monitoring system having the configuration shown in FIGS. 1 and 2 will be described. FIG. 3 is a flowchart showing an example of the processing operation of the monitoring system according to the embodiment of the present invention.
In this monitoring system, first, in order to suppress black crushing and whiteout of an image captured by any one of the imaging devices 3 serving as a reference among the imaging devices 3 in each monitoring range, corresponding to the imaging device 3. The illuminance adjustment of the light illuminated in the monitoring range by the imaging device 3 is performed by controlling the driving of the illumination device 7 and the incidental equipment 9 provided (step S1).

Next, the details of step S1 described above will be described. FIG. 4 is a diagram illustrating an example of the illuminance adjustment procedure for the monitoring range by the monitoring system according to the embodiment of the present invention.
As shown in FIG. 4, a bright region and a dark region exist in the monitoring range due to the influence of external light on the monitoring range by the reference imaging device 3 described above. For this reason, in the monitoring image captured by the imaging device 3 in the monitoring range, there are a blackened area and a whiteout area, respectively, and the color distribution of the image has a bias. Here, the bias of the color distribution refers to a state where the appearance frequency of the achromatic color in the image is clearly high while the appearance frequency of the chromatic color is clearly low.

  In addition, the luminance distribution of the monitoring image also has a bias due to the influence of external light. Here, the unevenness of the luminance distribution is the case where the appearance frequency of low luminance is clearly high while the appearance frequency of high luminance is extremely low and vice versa, that is, the appearance frequency of high luminance and low luminance differs by a certain degree or more. Refers to the state.

  In such a case, by driving the illumination device 7 and the incidental equipment 9 in the monitoring range, the bright area and the dark area in the monitoring range are resolved, and the deviation of the color distribution and luminance distribution of the captured image is eliminated. Suppresses black crushing and whiteout in images.

FIG. 5 is a block diagram illustrating a configuration example of the first determination unit of the image processing unit of the monitoring system according to the embodiment of the present invention.
The first determination unit 51 of the image processing unit 5 of the monitoring system includes an image generation unit 61, a luminance histogram generation unit 62, a luminance distribution bias determination unit 63, a color space conversion unit 64, a color information extraction determination unit 65, and a color histogram generation unit. 66 and a color distribution bias determination unit 67.

FIG. 6 is a flowchart illustrating an example of a processing operation performed by the first determination unit of the image processing unit of the monitoring system according to the embodiment of the present invention.
As the details of the processing in step S1, when the image input unit 2 inputs a captured image from the reference imaging device 3 described above (step S11), the image generation unit 61 obtains a grayscale image and a color image of the input captured image, respectively. Generate (step S12). The color image described here is the input captured image itself, and the grayscale image is an image obtained by extracting only the brightness component from the input captured image.

Next, the luminance histogram generation unit 62 generates a luminance histogram of the grayscale image generated by the process of step S12 (step S13).
The luminance distribution bias determination unit 63 performs bias analysis processing on the generated luminance histogram (step S14), and determines whether there is a bias in the luminance distribution of the captured image (step S15).

  If it is determined in the process of step S15 that the luminance distribution of the captured image is not biased (NO in step S15), the color space conversion unit 64 uses the color space of the color image generated in the process of step S13. Convert. Here, the original color space is the RGB color space, and this color space is converted into the L * a * b * / L * u * v * space (step S16).

  The color information extraction determination unit 65 performs color discrimination processing for classifying a color image that has undergone color space conversion into a plurality of colors, for example, 20 colors (step S17). When the number of colors to be classified is 20, as an example of color classification, the chromatic colors are red, blue, green, etc., including 10 to 15 colors, and the achromatic colors are white, gray, black, etc. A total of about 5 colors can be considered.

  Based on the result of the color discrimination process, the color histogram generation unit 66 assigns a color number to each classified color, and generates a color histogram indicating the appearance frequency of each color corresponding to these numbers ( Step S18).

  Next, the color distribution bias determination unit 67 performs bias analysis processing on the generated color histogram (step S19), and determines whether there is a bias in the color distribution of the captured image (step S20).

  If it is determined by the process of step S15 that the luminance distribution of the captured image is biased (YES in step S15), the illuminance control unit 6 uses the reference captured image stored in the storage device 4 as a basis. A lighting amount such as lighting intensity by the lighting device 7 for eliminating the unevenness of the luminance distribution of the captured image and a control amount of the light shielding range by the auxiliary equipment 9 are calculated (step S21), and the lighting mode of the lighting device 7 is calculated according to this control amount. In addition, the auxiliary equipment control unit 8 is controlled to open and close the curtains and blinds which are the auxiliary equipment 9 (step S22). As a specific example of the processing in step S22, it is possible to weaken the light illuminated in the area where the influence of external light is strong in the monitoring range and to increase the light illuminated in the area where the influence of external light is weak.

  When it is determined that the color distribution of the captured image is biased by the process of step S20 (YES in step S20), the illuminance control unit 6 is based on the reference captured image stored in the storage device 4. In addition, the illumination form by the illumination device 7 and the control amount of the light shielding range by the incidental equipment 9 for eliminating the bias of the color distribution of the captured image are calculated, the illumination form of the illumination apparatus 7 is controlled according to this control amount, and the incidental equipment The control unit 8 is controlled to open and close the auxiliary equipment 9.

  If it is determined in step S20 that there is no bias in the color distribution of the captured image (NO in step S20), the process in step S1 ends. By performing the processing in step S1 in this way, an illumination environment with small illuminance and wavelength deviation of light in the room can be realized, so that the image by the imaging device 3 can be an image having color information.

  After the processing in step S1, the monitoring system improves the color of the captured image by the reference imaging device 3 described above, that is, in order to bring the color of the monitoring object appearing in the captured image closer to the actual color. A spectral distribution characteristic of illumination by the illumination device 7 provided corresponding to the imaging device 3 is controlled (step S2).

Next, details of the processing in step S2 described above will be described. FIG. 7 is a diagram illustrating an example of a procedure of spectral distribution characteristic control of illumination by the illumination device of the monitoring system according to the embodiment of the present invention.
As shown in FIG. 7, when the spectral distribution characteristic of illumination in the illumination device 7 to the monitoring range by the reference imaging device 3 is insufficient or biased, the color of the monitoring object in the image captured by the imaging device 3 Here, the color of the person's clothes is significantly different from the actual color.

  In such a case, by controlling the spectral distribution characteristics of the illumination in the illuminating device 7 in the monitoring range, the shortage and bias of the spectral distribution characteristics are resolved, and the color of the monitoring object in the image captured by the imaging device 3 Move closer to the actual color.

FIG. 8 is a block diagram illustrating a configuration example of the second determination unit of the image processing unit of the monitoring system according to the embodiment of the present invention.
The second determination unit 52 of the image processing unit 5 of the monitoring system includes a spectral image processing unit 71, a camera / light source information acquisition unit 72, a spectral data acquisition unit 73, a spectral distribution bias analysis unit 74, an insufficient wavelength extraction unit 75, and a bias presence / absence. A determination unit 76 is included.

FIG. 9 is a flowchart illustrating an example of a processing operation performed by the second determination unit of the image processing unit of the monitoring system according to the embodiment of the present invention.
As details of the processing in step S2, the spectral image processing unit 71 performs spectral image processing on the input captured image when the image input unit 2 inputs the captured image from the reference imaging device 3 (step S31). (Step S32).

The camera / light source information acquisition unit 72 acquires camera information and light source information based on the spectral image processing result (step S33). Here, the camera information is information on spectral characteristics of the imaging device 3 serving as a reference. The spectral characteristic of the imaging device 3 is a characteristic indicating which wavelength of light the imaging device 3 feels strongly. The light source information is information indicating which wavelength light is included in the illumination from the illumination device 7 in the imaging range of the imaging device 3 serving as a reference.
Further, the spectral data acquisition unit 73 acquires spectral reflectance information on the object surface based on the spectral image processing result (step S34).

  The spectral distribution bias analysis unit 74 performs a wavelength bias analysis process of the spectral reflectance of the object surface based on the information acquired in the processes of steps S33 and S34, and thereby in the imaging range of the imaging device 3 serving as a reference. An analysis is performed to determine whether the spectral distribution characteristics of the illumination device 7 include both a wavelength having an intensity lower than a predetermined reference value and a wavelength greater than the reference value (step S35).

  The insufficient wavelength extraction unit 75 extracts information on the wavelength below the reference value when there is a wavelength below the predetermined reference value in the spectral reflectance in the result of the wavelength deviation analysis process of the spectral reflectance (step) S36).

  Then, as a result of the processing in steps S35 and S36, if it is recognized that the spectral distribution characteristics are insufficient or biased, that is, it is recognized that both the wavelength of intensity lower than the predetermined reference value and the wavelength of the reference value or more exist, When the determination is made at 76 (YES in step S37), the illuminance control unit 6 is based on the reference captured image stored in the storage device 4, and the illumination device 7 is used to eliminate the shortage and bias in the spectral distribution characteristics. The control amount of the illumination form such as the ON / OFF form and RGB color LED illumination intensity is calculated (step S38), and the illumination form of the illumination device 7 is controlled according to the control amount (step S39).

  On the other hand, if the bias presence / absence determination unit 76 determines that the spectral distribution characteristics are insufficient or not biased (NO in step S37), the process in step S2 ends. By performing the processing in step S2 in this way, an illumination environment with high color rendering properties having a non-biased spectral distribution characteristic can be realized, so that the color characteristics of the image obtained by the imaging device 3 are captured by the imaging device 3. It is possible to control so that the color of the monitoring object in FIG.

FIG. 10 is a diagram showing an outline of an object identification procedure by the monitoring system in the embodiment of the present invention.
By the processing in steps S1 and S2, the color rendering properties of the image captured by the reference imaging device 3 are improved. After the processing of steps S1 and S2, the object identification processing unit 53 shows the color tone based on the image captured by the reference image capturing device 3 and the color tone based on the image captured by the other image capturing device 3 in FIG. As shown, it is determined whether or not it has been uniformized (step S3).

  When it is determined as “NO” as a result of the process in step S3, the image processing unit 5 selects one unselected device from the image pickup devices 3 different from the reference image pickup device 3 (step S4). The first determination unit 51 and the second determination unit 52 of the processing unit 5 make the color of the image captured by the selected image capturing device 3 equal to the color of the image captured by the image capturing device 3 serving as a reference or predetermined. The illuminance adjustment processing of the monitoring range and the control processing of the spectral distribution characteristics of the illumination are performed so as to satisfy the above criteria (step S5). By performing the processes of steps S4 and S5, the color characteristics between the plurality of imaging devices 3 can be matched.

  On the other hand, when it is determined as “YES” as a result of the process of step S3, the object identification processing unit 53 is based on the images captured by the respective image capturing apparatuses 3, and is monitored by these image capturing apparatuses 3. The identification process of the monitoring object which passed each is performed (step S6).

  As described above, in the monitoring system according to the embodiment of the present invention, by controlling the light illuminating each installation location of the plurality of imaging devices 3 and controlling the spectral distribution characteristics of illumination by the illumination device 7 at the installation location. The color characteristics of the image captured by the reference imaging device 3 are improved, and the color characteristics of other imaging devices with different installation locations are combined based on the color rendering properties of the captured image of the reference imaging device 3. By performing this control, it is possible to make the color characteristics of the image uniform between the imaging devices. Thereby, the precision of the identification process of the monitoring target object by a color can be improved.

  In the above-described embodiment, the incidental facility 9 has been described as a curtain or a blind, for example. However, the present invention is not limited thereto, and may be an electrochromic light control glass, that is, a window glass capable of controlling light transmittance. In this case, the incidental equipment control unit 8 controls the light that is illuminated from the outside through the dimming glass by controlling the current to the dimming glass.

  The present invention is not limited to the above-described embodiment as it is, and can be embodied by modifying the constituent elements without departing from the scope of the invention in the implementation stage. Various inventions can be formed by appropriately combining a plurality of constituent elements disclosed in the embodiment. For example, some components may be omitted from all the components shown in the embodiment. Furthermore, you may combine suitably the component covering different embodiment.

The block diagram which shows the structural example of the monitoring system in embodiment of this invention. The figure which shows an example of the installation form of the monitoring system in embodiment of this invention. The flowchart which shows an example of the processing operation of the monitoring system in embodiment of this invention. The figure which shows an example of the illumination intensity adjustment procedure of the monitoring range by the monitoring system in embodiment of this invention. The block diagram which shows the structural example of the 1st determination part of the image processing part of the monitoring system in embodiment of this invention. The flowchart which shows an example of the processing operation by the 1st determination part of the image processing part of the monitoring system in embodiment of this invention. The figure which shows an example of the procedure of the spectral distribution characteristic control of the illumination by the illuminating device of the monitoring system in embodiment of this invention. The block diagram which shows the structural example of the 2nd determination part of the image processing part of the monitoring system in embodiment of this invention. The flowchart which shows an example of the processing operation by the 2nd determination part of the image processing part of the monitoring system in embodiment of this invention. The figure which shows the outline | summary of the target object identification procedure by the monitoring system in embodiment of this invention.

Explanation of symbols

  DESCRIPTION OF SYMBOLS 1 ... Control part, 2 ... Image input part, 3 ... Imaging device, 4 ... Memory | storage device, 5 ... Image processing part, 6 ... Illuminance control part, 7 ... Illumination device, 8 ... Auxiliary equipment control part, 9 ... Auxiliary equipment, DESCRIPTION OF SYMBOLS 10 ... Display apparatus, 11 ... Bus, 51 ... 1st determination part, 52 ... 2nd determination part, 53 ... Object identification process part, 61 ... Image generation part, 62 ... Luminance histogram generation part, 63 ... Luminance distribution bias determination 64: Color space conversion unit, 65 ... Color information extraction determination unit, 66 ... Color histogram generation unit, 67 ... Color distribution bias determination unit, 71 ... Spectral image processing unit, 72 ... Camera / light source information acquisition unit, 73 ... Spectral data acquisition unit, 74... Spectral distribution bias analysis unit, 75... Short wavelength extraction unit, 66.

Claims (10)

A plurality of imaging devices for imaging a monitoring object;
An illumination device that illuminates the imaging range of each of the imaging devices;
The illuminating device corresponding to each of the imaging devices is configured so that the color characteristics of the images captured by each of the imaging devices are color characteristics that satisfy the conditions that allow identification of the monitoring target included in the images. A monitoring system comprising: illumination control means for controlling a state of illumination light illuminated on the imaging range. External light is illuminated in the imaging range by the imaging means,
A light shielding device for shielding the external light;
The illumination control means includes
The light-shielding state of the external light by the light-shielding device corresponding to each of the imaging means is set so that the color characteristic of the captured image is a color characteristic that satisfies a condition that allows identification of the monitoring target included in the image. The monitoring system according to claim 1, wherein the monitoring system is controlled. An acquisition unit for acquiring a luminance distribution and a color distribution of an image captured by the imaging unit;
The illumination control means includes
When the luminance distribution or the color distribution acquired by the acquisition unit has a bias that does not satisfy the condition for identifying the monitoring target, the imaging unit that has performed the imaging so as to satisfy the condition is used. The monitoring system according to claim 1, wherein a state of illumination light illuminated onto the imaging range by the corresponding illumination device is controlled. An acquisition means for acquiring spectral distribution characteristics of the illumination device corresponding to the imaging device that captured the image by performing spectral image processing of the image captured by the imaging device;
The illumination control means includes
When the spectral distribution characteristic acquired by the acquisition means is a characteristic that does not satisfy the condition for identifying the monitoring object, the illumination corresponding to the imaging device that has performed the imaging so as to satisfy the condition The monitoring system according to claim 1, wherein a state of illumination light illuminated onto the imaging range is controlled by an apparatus. A storage means for storing image information having ideal color rendering properties;
The illumination control means includes
Based on the image information stored in the storage means, the color characteristics of the images captured by the respective imaging devices become color characteristics that satisfy the conditions for identifying the monitoring target included in the images. The monitoring system according to claim 1, further comprising: controlling a state of illumination light illuminated onto the imaging range by an illumination device corresponding to each of the imaging devices. The illumination device is a combination of fluorescent lamps having different spectral distribution characteristics,
The monitoring system according to claim 5, wherein the illumination control unit controls a state of illumination light illuminated onto the imaging range by each of the fluorescent lamps. The lighting device is a light emitting diode of each of the three primary colors of light,
The monitoring system according to claim 5, wherein the illumination control unit controls a state of illumination light illuminated onto the imaging range by each of the light emitting diodes. The shading device is a blind;
The shading control means includes
The monitoring system according to claim 2, wherein the open / close state of the blind is controlled so that the color characteristic of the image satisfies the condition that allows identification of the monitoring target included in the image. . The shading device is a curtain;
The shading control means includes
The monitoring system according to claim 2, wherein the open / close state of the curtain is controlled so that the color characteristic of the image is a color characteristic satisfying a condition that allows identification of an object included in the image. The shading device is a light control glass whose light transmittance can be controlled,
The shading control means includes
The light transmittance of the glass for light control is controlled so that the color characteristic of the image becomes a color characteristic satisfying a condition capable of identifying an object included in the image. Monitoring system.

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