JP2012010233A - Image processing apparatus, image processing system and image processing method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To reduce the erroneous detection of a specific event during image analysis.SOLUTION: The present invention relates to a client terminal for receiving image data containing a monitor target from a camera server which images the monitor target and performs image analysis. An image analysis region is designated in an image displayed on a display device in response to a user operation, and information on the designated image analysis region is transmitted to the camera server. When setting information including the information on the image analysis region is acquired from the camera server, on the basis of the acquired setting information, the image and the designated image analysis region are then superimposed and displayed on the display device.

Description

  The present invention relates to an image processing apparatus, an image processing system, an image processing method, and a program that analyze an image to detect a specific event.

  In recent years, a distribution system using an IP (Internet Protocol) network such as the Internet has been increasing, and it is also used for an Internet site that distributes the state of a ski resort or a zoo, a store or a building, and the like. For example, in the monitoring of a store or a building, a captured event is analyzed to detect a specific event, and when the event occurs, an image is accumulated or an administrator browses and confirms the event. Yes.

  Specific events for image analysis include, for example, object detection for detecting whether an object has appeared on a captured image, and object tracking for tracking an object detected in conjunction with camera control. Also, leaving detection that detects that a suspicious object has been placed, removal detection that detects that a monitoring target has been removed, tampering detection that detects that a network camera has been tampered with from a captured image, etc. Exists.

  For example, Patent Document 1 discloses a method for setting a tracking function of a network camera. By using the technique described in Patent Document 1, the tracking function can be easily set by superimposing and displaying the image data distributed by the network camera and the area on the image that has moved.

Japanese Patent Laid-Open No. 2005-31018

  In the prior art disclosed in Patent Document 1 described above, the area specified by the user on the screen is necessarily a rectangle, and the area is the same as the area where analysis processing is performed on the network camera side. is there. Even when the user designates a detection target area other than a rectangle in accordance with the monitoring target, the analysis process performed by the network camera is performed for each area obtained by dividing the captured image into a certain size. However, the area designated on the screen by the user and the area to be analyzed on the network camera side do not match, making it difficult to set as intended by the user, and a specific event may be erroneously detected.

  The present invention has been made in view of the above-described problems, and an object thereof is to reduce erroneous detection of a specific event in image analysis.

  An image processing apparatus according to the present invention is an image processing apparatus that receives image data including a monitoring target from an imaging apparatus that images the monitoring target and analyzes the image, and displays an image based on the image data on a display device. Display control means, designation means for designating an image analysis area in an image displayed on the display device in accordance with a user operation, and information on the image analysis area designated by the designation means is transmitted to the imaging apparatus. A transmission unit; and an acquisition unit that acquires setting information including information on an image analysis region from the imaging device. The display control unit is configured to display the image and the image based on the setting information acquired by the acquisition unit. The analysis area is superimposed and displayed on the display device.

  According to the present invention, since the user can confirm the image analysis region where the camera performs image analysis, it is possible to reduce erroneous detection of specific events.

It is a figure which shows the example of a program structure of a camera server and a client terminal. 1 is a diagram illustrating a system configuration example of an image processing system. It is a figure which shows the hardware structural example of a camera server and a client terminal. It is a figure which shows an example of the captured image containing an image analysis area | region. It is a figure which shows an example of the captured image to which the image analysis area was designated. It is a flowchart which shows an example of the process sequence regarding setting management. It is a flowchart which shows an example of the process sequence which determines an image analysis area | region. It is a figure which shows the example of a display at the time of changing an image analysis area | region. It is a flowchart which shows an example of the process sequence which displays an image analysis area | region. It is a flowchart which shows an example of the process sequence which displays an image analysis area | region. It is a flowchart which shows an example of the process sequence which determines an image analysis area | region. It is a figure which shows an example of an analysis area | region list. It is a figure which shows the example which superimposed and displayed the area | region which a camera server performs an image analysis process. It is a flowchart which shows an example of the process sequence which determines an image analysis area | region.

(First embodiment)
Hereinafter, the configuration and operation of an image processing system suitable for an embodiment of the present invention will be described with reference to the drawings.
FIG. 2 is a diagram illustrating a system configuration example of the image processing system according to the present embodiment.
As shown in FIG. 2, the first camera server 200, the second camera server 210, and the client terminal 220 are connected to each other via a network 230. The first camera server 200 and the second camera server 210 are provided with a camera whose shooting angle of view can be fixed or changed, and the shot image data is distributed via the network 230. The first camera server 200 and the second camera server 210 operate independently, and the client terminal 220 accesses the first camera server 200 or the second camera server 210 and acquires image data. In order to simplify the description, two camera servers are used, but three or more camera servers may be used.

  In addition to the client terminal 220 shown in FIG. 2, there may be other client terminals that access the first camera server 200 or the second camera server 210 to receive and store image data. The network 230 includes a plurality of routers, switches, cables, and the like that satisfy a communication standard such as Ethernet (registered trademark). In the present embodiment, as long as communication between each server and client terminal can be performed without any problem, the Internet, a LAN (Local Area Network), or the like is applicable regardless of the communication standard, scale, and configuration. .

FIG. 3A is a block diagram illustrating an example of a hardware configuration of the first camera server 200 of the present embodiment. Since the second camera server 210 has the same configuration, the description of the hardware configuration of the second camera server 210 is omitted.
As shown in FIG. 3A, a CPU 300, a primary storage device 310, a secondary storage device 320, an image capture I / F 330, and a network I / F 335 are connected to each other via an internal bus 301.

  The primary storage device 310 is a high-speed writable storage device such as a RAM, and is loaded with an OS, various programs, and various data, and is also used as a work area for the OS and various programs. The secondary storage device 320 is a nonvolatile storage device such as an FDD, HDD, flash memory, CD-ROM drive, etc., and is used as a permanent storage area for the OS, various programs, and various data, as well as a short-term storage device. It is also used as a storage area for various data. Details of various programs and the like developed in the primary storage device 310 and the secondary storage device 320 of the first camera server 200 will be described later.

  A camera 340 is connected to the image capture I / F 330, and the image data captured by the camera 340 is converted and compressed into a predetermined format and transferred to the primary storage device 310. The network I / F 335 is an I / F for connecting to the network 230, and communicates with the client terminal 220 and the like via a communication medium.

FIG. 3B is a block diagram illustrating an example of a hardware configuration of the client terminal 220.
As shown in FIG. 3B, a CPU 350, a primary storage device 360, a secondary storage device 370, a user input I / F 380, a user output I / F 390, and a network I / F 395 are mutually connected via an internal bus 351. It is connected.

  The primary storage device 360 is a high-speed writable storage device such as a RAM, and is loaded with an OS, various programs, and various data, and is also used as a work area for the OS and various programs. The secondary storage device 370 is a non-volatile storage device such as an FDD, HDD, flash memory, CD-ROM drive, etc. In addition to being used as a permanent storage area for the OS, various programs, and various data, It is also used as a storage area for various data. The details of various programs and the like developed in the primary storage device 360 and the secondary storage device 370 of the client terminal 220 will be described later.

  The user input I / F 380 is connected to an input device 381 such as a keyboard and a mouse, and inputs an instruction from the user. An output device 391 such as a display is connected to the user output I / F 390, and image data for display is output. The network I / F 395 is an I / F for connecting to the network 230 described above, and performs communication with the first camera server 200 and the like via a communication medium.

FIG. 1A is a block diagram illustrating an example of a software configuration of the first camera server 200. Since the second camera server 200 has the same configuration, the description of the software configuration of the second camera server 210 is omitted.
On the primary storage device 310, an OS 100, an imaging processing program 110, an image analysis program 111, a distribution processing program 112, and a temporary storage unit 113 are loaded. The OS 100 is a basic program that controls the entire first camera server 200.

  The imaging processing program 110 inputs an image frame generated by the camera 340 via the image capture I / F 330, encodes the image frame, and saves it in the temporary storage unit 113. The image analysis program 111 loads setting information related to image analysis stored in the secondary storage device 320 to the temporary storage unit 113. Further, the image frame stored in the temporary storage unit 113 is analyzed to detect the contents such as where and what form of the object exists on the image. Further, it detects that a specific event has occurred due to exceeding one or more preset thresholds. Further, when receiving new setting information from the client terminal 220 via the network I / F 335, the image analysis program 111 stores the new setting information in the temporary storage unit 113 or the secondary storage device 320, and starts image analysis using the new setting information.

  The distribution processing program 112 controls the network I / F 335 in response to an external request, thereby transmitting the image frame stored in the temporary storage unit 113 to the client terminal 220 or the like via the network 230. Further, the cooperation between the programs uses a function provided by the OS 100 as necessary.

FIG. 1B is a block diagram illustrating an example of a software configuration of the client terminal 220.
On the primary storage device 360, an OS 150, an input control program 160, a setting management program 161, a reception processing program 162, an output control program 163, an analysis area determination program 164, and a temporary storage unit 165 are loaded. The OS 150 is a basic program that controls the entire client terminal 220.

  The input control program 160 activates the setting management program 161 when the user operates an input device 381 such as a keyboard and a mouse. In this embodiment, in addition to the user directly operating the keyboard, mouse, and the like, the present invention can be realized by an operation via a network or an automatic execution program. The setting management program 161 starts the analysis region determination program 164 to display the analysis region processed by the first camera server 200 or the second camera server 210, and further executes the reception processing program 162 to acquire an image frame. to start. Also, the setting management program 161 activates the output control program 163 to display an image frame or transmit information on the analysis area determined by the user's operation to the first camera server 200 or the second camera server 210. Or

  The analysis area determination program 164 acquires setting information including an image analysis area from the first camera server 200 or the second camera server 210, and determines an image analysis area to be executed in the camera server. Then, the analysis area is displayed by the output control program 163. The reception processing program 162 receives the image frame from the first camera server 200 or the second camera server 210 via the network 230 by controlling the network I / F 395 and stores it in the temporary storage unit 165. The output control program 163 controls display of image frames and analysis areas on an output device 391 such as a display in accordance with instructions from the reception processing program 162 and the analysis area determination program 164. It should be noted that the functions provided by the OS 100 are used for cooperation between the programs as necessary.

FIG. 4A is a diagram illustrating an example of a setting screen for image analysis processing displayed on the display which is the output device 391 by the client terminal 220.
FIG. 4A shows a case where the image analysis area 420 is designated on the captured image 400 in which the monitoring target 410 is shown. In this embodiment, the client terminal 220 displays an image frame (resolution: 640 × 480) acquired from the first camera server 200 or the second camera server 210, and four points A, B, C, Designate a closed region consisting of D.

FIG. 4B is a diagram illustrating an example of an image analysis processing block in the first camera server 200 and the second camera server 210.
In FIG. 4B, when four points A, B, C, and D on the screen of FIG. 4A are designated, which region is to be processed is shown. In contrast to the image analysis area 470 corresponding to the image analysis area 420 displayed on the output device 391 of the client terminal 220, the area where the first camera server 200 and the second camera server 210 perform analysis processing is a block area 460. .

  In the present embodiment, the first camera server 200 and the second camera server 210 perform image analysis processing with a granularity of 40 × 30 divided in units of 8 × 8 on an image frame having a resolution of 320 × 240. To do. As described above, the analysis region is specified with a granularity of 640 × 480 on the client terminal 220, whereas the image analysis processing is performed with a granularity of 40 × 30 on the first camera server 200 and the second camera server 210. To do.

FIG. 5 is a diagram illustrating an example in which a region where the camera server actually performs image analysis processing is superimposed and displayed on the display of the client terminal 220.
FIG. 5 shows an image analysis area 530 in which the camera server performs image analysis processing when the image analysis area 520 is designated on the captured image 500 in which the monitoring target 510 is shown.

  As described above, whether or not the image analysis processing is performed on the area intended by the user is displayed by superimposing and displaying the area to be actually analyzed on the area designated by the user on the client terminal 220 side. Can be confirmed. In the present embodiment, the analysis area is provided in units of a rectangle, but may be specified by a polygon other than a rectangle in accordance with the monitoring target. In FIG. 5, the area where the camera server performs image analysis processing is superimposed and displayed as it is. However, if the image analysis area can be confirmed, another display method such as frame display may be used.

FIG. 6 is a flowchart illustrating an example of a processing procedure executed by the setting management program 161 on the client terminal 220.
First, the setting management program 161 is activated when an input device 381 such as a keyboard or a mouse is operated by a user to set image analysis processing. Then, the setting management program 161 activates the analysis region determination program 164 to make it possible to start the analysis region determination process (step S601). Next, the reception processing program 162 is activated and the network I / F 395 is controlled to enable the reception of image data from the first camera server 200 or the second camera server 210 (step S602). . And it waits until an event generate | occur | produces with respect to the setting management program 161 (step S603).

  When an event occurs, the setting management program 161 determines the type of event (step S604). If the result of this determination is an event notifying the reception of image data, the image data (image frame) received by the output control program 163 is displayed on the output device 391 such as a display (step S605). As a result, the captured image 400 shown in FIG. 4A is displayed.

  On the other hand, if it is determined in step S604 that the setting information is stored when the input device 381 is operated by the user, information on the currently displayed image analysis area is acquired by the analysis area determination program 164. (Step S606). Then, the setting information is transmitted to the camera server by controlling the network I / F 395 by the output control program 163 (step S607). Here, the information of the image analysis area is the coordinates of each vertex (four points A, B, C, D) of the image analysis area 420 shown in FIG. As a result of the determination in step S604, if the input device 381 is operated by the user and the event notifies the end of the setting process, the end flag is turned on (step S608).

  Next, it is determined whether or not the end flag is in the ON state (step S609). If the result of this determination is that it is not in the ON state, the process returns to step S603 and waits again until an event occurs. On the other hand, if the result of determination in step S609 is that the end flag is in the ON state, an end event is generated by the reception processing program 162 (step S610). Then, an end event is generated by the analysis region determination program 164 (step S611), and the process is ended.

FIG. 7 is a flowchart illustrating an example of a processing procedure executed by the analysis area determination program 164 on the client terminal 220.
In step S601 in FIG. 6, the analysis area determination program 164 is started by the setting management program 161. First, a request for acquiring setting information including the current image analysis area is sent to the first camera server 200 or the second camera server 210. Transmit (step S701). And it waits until an event generate | occur | produces with respect to the analysis area | region determination program 164 (step S702).

  When an event occurs, the analysis area determination program 164 determines the type of event (step S703). If the result of this determination is an event notifying the reception of the setting information, the information of the area currently analyzed by the camera server is acquired from the received setting information. Then, the output control program 163 displays the image analysis area on the output device 391 such as a display (step S704). As a result, the captured image 500 shown in FIG. 5 is displayed.

  On the other hand, as a result of the determination in step S703, if the input device 381 is operated by the user to notify the designation of the image analysis area, it is determined whether all the designated vertices are connected to form a closed area (step S705). Here, the closed region is when the user designates, for example, vertices as shown in FIG. 5 in the order of A, B, C, D, and A and designates A for the second time. If the result of this determination is that the region is not a closed region, information on the designated vertex coordinates is stored in the temporary storage unit 165 in preparation for a new vertex being designated at the next opportunity (step S707). If the result of determination in step S705 is a closed region, the region specified by the output control program 163 is displayed on the output device 391 such as a display as an image analysis region to be implemented by the camera server (step 705). S706). In step S704 and step S706, the area is different, but the processing content is the same.

  On the other hand, if the result of determination in step S703 is an event that notifies the end from the setting management program 161, the end flag is set to the ON state (step S708). Next, it is determined whether or not the end flag is in an ON state (step S709). If the result of this determination is that the end flag is not ON, the process returns to step S702 and waits until an event occurs again. On the other hand, as a result of the determination in step S709, if the end flag is ON, the process ends.

FIG. 8 is a diagram illustrating a display example when changing the image analysis region. FIG. 8A shows a state before the image analysis area is changed, and shows that the point B (35, 26) is dragged and moved to the left by using the input device 381 such as a mouse. Yes.
On the other hand, FIG. 8B shows a state after the point B is dropped on the coordinates (34, 26). By moving the point B, three blocks are subjected to image analysis. I understand.

  In this way, by specifying a free-form detection target area on the client side and displaying an image analysis area implemented by the camera server, the user can easily specify the setting as intended, and the specific event False detection can be reduced.

(Second Embodiment)
The image processing system according to the second embodiment of the present invention will be described below. In the present embodiment, an image analysis region determination algorithm is added to the setting information for which an acquisition request is made in step S701 in FIG. Since the rest is the same as in the first embodiment, description thereof is omitted.

FIG. 9 is a flowchart illustrating an example of a processing procedure for displaying the image analysis area performed in steps S704 and S706 of FIG.
First, the analysis region determination algorithm of the camera server is determined from the received setting information of the first camera server 200 or the second camera server 210 (step S901). Then, a region where the camera server actually performs image analysis is calculated from the analysis region determination algorithm determined in step S901 and the specified region information (step S902). This calculation process is different for each analysis region determination algorithm. Then, the image analysis area calculated by the output control program 163 is displayed (step S903), and the process is terminated.

  As described above, in the present embodiment, even when an analysis region determination algorithm that differs depending on the camera server is adopted, the analysis region determination algorithm is included in the setting information, and an image analysis region according to the algorithm is calculated. Thereby, the image analysis areas of various types of camera servers can be correctly displayed.

(Third embodiment)
The image processing system according to the third embodiment of the present invention will be described below. In the present embodiment, a procedure for calculating an image analysis area corresponding to the image analysis granularity will be described. Since the rest is the same as in the first embodiment, description thereof is omitted.

FIG. 10 is a flowchart illustrating an example of a processing procedure for displaying the image analysis area performed in steps S704 and S706 of FIG.
First, the image analysis granularity of the first camera server 200 or the second camera server 210 is compared with the image display granularity of the client terminal 220 (step S1001). Note that the image analysis granularity information is received as setting information. For example, when the image analysis particle size is 40 × 30 and the image display particle size is 640 × 480, the image analysis particle size is larger. As described above, when the image analysis granularity is larger, the image analysis area of the camera server is calculated (step S1002). Conversely, when the image analysis granularity is equal to or smaller than the image display granularity, the image analysis granularity of the camera server is the same as the image display granularity, that is, the image analysis area of the camera server is the same as the area specified by the user on the captured image 500. Consider (step S1003). Then, the image analysis area calculated by the output control program 163 is displayed (step S1004), and the process ends.

  In this way, the image analysis granularity is compared with the image display granularity, and the image analysis area is matched with the processing capability of the camera server and the client terminal by allowing the user to specify the image analysis area according to the smaller granularity. Can be displayed.

(Fourth embodiment)
The image processing system according to the fourth embodiment of the present invention will be described below. In the present embodiment, the processing executed by the analysis region determination program 164 is different from that in the first embodiment, and the camera server is caused to calculate the image analysis region. Since the rest is the same as in the first embodiment, description thereof is omitted.

FIG. 11 is a flowchart illustrating an example of a processing procedure executed by the analysis region determination program 164 in the present embodiment.
11, steps S1101 to S1105 and S1107 are the same as steps S701 to S705 and S707 in FIG. 7, respectively.

  If the result of determination in step S1105 is that the region is a closed region, information on the image designation region is transmitted to the camera server that transmitted the setting information, and information on the image analysis region to be actually executed is requested from the camera server ( Step 1106). If the response of the image analysis area is received as an event as a result of the determination in step S1103, the output control program 163 displays the image analysis area indicated by the analysis area list included in the response on the output device 391 such as a display ( Step S1108). Steps S1109 and S1110 are steps S708 and S709 in FIG. 7, respectively.

FIG. 12 is a diagram showing an example of the analysis area list in the present embodiment. It is assumed that the image analysis granularity of the first camera server 200 and the second camera server 210 in this embodiment is 40 × 30. Therefore, the captured image is divided into 40 × 30 1200 areas, and serial numbers 0 to 1199 are assigned to the divided areas.
FIG. 12 shows a case where the captured image is divided into 1200 blocks and the closed region ABCD in FIG. 5 is designated. As shown in FIG. 12, the analysis area includes image analysis of a total of 11 blocks of number 996, number 1036, number 1037, number 1075, number 1076, number 1077, number 1116, number 1117, number 1118, number 1156, and number 1157. It is an area. In this case, the analysis area list transmitted by the camera server in response to the image analysis area is number 996, number 1036, number 1037, number 1075, number 1076, number 1077, number 1116, number 1117, number 1118, number 1156, number. 1157 information.

  In this embodiment, the image is divided into 1200 areas and serial numbers are assigned to the respective positions. However, the coordinate values can be used as they are. In addition, because the analysis area list is often characterized by the sequential number of block areas, it is also effective to apply general data compression techniques such as expressing the start number and the number of consecutive blocks. is there.

  As described above, in this embodiment, instead of calculating the image analysis areas of the first camera server 200 and the second camera server 210 on the client terminal 220 side, the first camera server 200 and the second camera server 210 are calculated. The image analysis area is calculated by itself. Thereby, it is possible to deal with a camera server having a new image area determination algorithm without changing the client terminal.

(Fifth embodiment)
Hereinafter, an image processing system according to a fifth embodiment of the present invention will be described.
In this embodiment, the image analysis granularity of the first camera server 200 or the second camera server 210 is ½ of the image display granularity of the client terminal 220, that is, the image analysis granularity is 1280 × 960, and the image display granularity is 640 ×. The case of 480 will be described. Since the rest is the same as in the first embodiment, description thereof is omitted.

FIG. 13 is a diagram illustrating an example in which a region where the camera server performs image analysis processing is superimposed and displayed on the client terminal 220 side in the present embodiment.
On the client terminal 220 side, the captured image 1300 of the first camera server 200 or the second camera server 210 is displayed. Further, an enlarged image 1302 is displayed in which the enlarged original image 1301 having the coordinates designated by the user (320 and 200 in the example of FIG. 13) as one vertex is doubled. At this time, since the enlarged image 1302 is displayed in units that can be analyzed by the first camera server 200 or the second camera server 210, the user can designate the image analysis area ABCDEFGHIJK on the enlarged image 1302.

FIG. 14 is a flowchart illustrating an example of a processing procedure executed by the analysis region determination program 164 in the present embodiment.
In step S601 of FIG. 6, the analysis area determination program 164 is activated by the setting management program 161. Then, a setting information acquisition request including the current image analysis region, image analysis granularity, and the like is transmitted to the first camera server 200 or the second camera server 210 (step S1401). Steps S1402 and S1403 are the same as steps S702 and S703 in FIG. 7, respectively.

  If the result of determination in step S1403 is an event notifying the reception of setting information, information on the area currently analyzed by the camera server is acquired from the received setting information. Then, conversion is performed according to the screen display granularity in the received setting information (step S1404). In the present embodiment, since the particle size ratio is 1/2, the value is set to 1/2. Then, the image analysis region converted by the output control program 163 is displayed on the output device 391 such as a display (step S1405). As a result, the captured image 500 shown in FIG. 5 is displayed.

  On the other hand, if the result of determination in step S1403 is an event in which the user operates the input device 381 to create an enlarged image, an enlarged image with the designated coordinates as a vertex is created. Then, the enlarged image is displayed on the output device 391 such as a display by the output control program 163 (step S1409). In the example shown in FIG. 13, an enlarged image 1302 is created and displayed with the designated coordinates (320, 200). Then, the designated coordinates (320, 200) are stored as reference coordinates in the temporary storage unit 165 (step S1410). In this embodiment, since the image analysis granularity is ½ of the image display granularity, the doubled coordinates (640, 400) are stored as reference coordinates.

  If it is determined in step S1403 that the input device 381 is operated by the user to notify the designation of the image analysis area, the process advances to step S1406. Steps S1406 to S1408 are the same as steps S705 to S707 in FIG. However, in step S1408, the coordinates are stored in consideration of the reference coordinates. In the present embodiment, in the case of a point (320, 240) on the enlarged image 1302, coordinates (960, 640) obtained by adding the reference coordinates (640, 400) are stored as designated coordinates.

  If the input device 381 is operated by the user as a result of the determination in step S1403 and the event is an event for notifying the end from the setting management program 161, the end flag is turned on (step S1409). Note that step S1412 is the same as step S709 in FIG.

  As described above, according to the present embodiment, when the image analysis granularity of the first camera server 200 or the second camera server 210 is smaller than the image display granularity, the display area is enlarged and the image analysis area is compared with the area. Is specified. Thereby, it can respond also to a camera server with high processing capability. In combination with the third embodiment, when the image analysis particle size is larger than the image display particle size, the image analysis region may be designated according to the image analysis particle size.

(Other embodiments)
The present invention can also be realized by executing the following processing. That is, software (program) that realizes the functions of the above-described embodiments is supplied to a system or apparatus via a network or various storage media, and a computer (or CPU, MPU, or the like) of the system or apparatus reads the program. It is a process to be executed.

  160 input control program, 161 setting management program, 162 reception processing program, 163 output control program, 164 analysis area determination program

Claims (9)

An image processing device that receives image data including the monitoring target from an imaging device that images the monitoring target and analyzes the image,
Display control means for displaying an image based on the image data on a display device;
A designation means for designating an image analysis region in an image displayed on the display device in accordance with a user operation;
Transmitting means for transmitting information of the image analysis area designated by the designation means to the imaging device;
Obtaining means for obtaining setting information including information of an image analysis region from the imaging device;
The image processing apparatus, wherein the display control unit superimposes the image and the image analysis region on the display device based on the setting information acquired by the acquisition unit. The acquisition means further acquires image analysis particle size information for image analysis by the imaging device,
If the image analysis granularity of the imaging device exceeds the display granularity when displayed by the display control means, the designation means designates the image analysis region with the image analysis granularity of the imaging device, and 2. The image processing apparatus according to claim 1, wherein when the image analysis granularity is equal to or smaller than the display granularity when displayed by the display control means, the image analysis region is designated by the display granularity.   The image processing apparatus according to claim 2, wherein the display control unit enlarges an image displayed on the display device when an image analysis granularity of the imaging device is equal to or smaller than a display granularity.   The image processing apparatus according to claim 1, wherein the acquisition unit further acquires a list of numbers indicating block positions in the image data.   The image processing apparatus according to claim 1, wherein the specifying unit specifies a vertex of the image analysis region.   The image processing apparatus according to claim 1, wherein the acquisition unit also acquires information on an algorithm for determining the image analysis region. An image processing system in which an imaging device that images a monitoring target and analyzes the image, and an image processing device that receives image data including the monitoring target from the imaging device are connected to a network,
The imaging device
Imaging means for imaging a monitoring target and generating image data;
Image analysis means for performing image analysis of the monitoring target from image data generated by the imaging means;
A communication unit that transmits the image data generated by the imaging unit and transmits setting information including information on an image analysis region analyzed by the image analysis unit to the image processing apparatus;
When the image analysis unit receives the image analysis area information from the image processing device, the image analysis unit performs image analysis according to the received image analysis area,
The image processing apparatus includes:
Display control means for displaying an image based on the image data on a display device;
A designation means for designating an image analysis region in an image displayed on the display device in accordance with a user operation;
Transmitting means for transmitting information of the image analysis area designated by the designation means to the imaging device;
Obtaining means for obtaining setting information including information of an image analysis region from the imaging device;
The image processing system, wherein the display control unit superimposes the image and the image analysis region on the display device based on the setting information acquired by the acquisition unit. An image processing method for receiving image data including the monitoring target from an imaging device that images the monitoring target and analyzes the image,
A display control step of displaying an image based on the image data on a display device;
A designation step of designating an image analysis region in an image displayed on the display device in accordance with a user operation;
A transmission step of transmitting information of the image analysis region designated in the designation step to the imaging device;
An acquisition step of acquiring setting information including information of an image analysis region from the imaging device,
In the display control step, based on the setting information acquired in the acquisition step, the image and the image analysis region are superimposed and displayed on the display device. A program for controlling an image processing device that receives image data including the monitoring target from an imaging device that images the monitoring target and analyzes the image,
A display control step of displaying an image based on the image data on a display device;
A designation step of designating an image analysis region in an image displayed on the display device in accordance with a user operation;
A transmission step of transmitting information of the image analysis region designated in the designation step to the imaging device;
An acquisition step of acquiring setting information including information on an image analysis region from the imaging device is executed by a computer,
In the display control step, the image and the image analysis region are superimposed and displayed on the display device based on the setting information acquired in the acquisition step.

Images