JP5712868B2 - Surveillance camera video display device - Google Patents

Description

  The present invention relates to a monitoring camera image display device that dynamically selects and displays a representative monitoring image from monitoring images of a plurality of monitoring cameras.

In recent years, video surveillance systems not only monitor the entrances of buildings and condominiums, but in recent years, the entire floor of a data center has been installed so that there are no blind spots, the entire building has been monitored, and stores nationwide. Increasingly, the scale is increasing day by day, such as centralized monitoring and monitoring of the entire city. However, since the number of images that can be monitored simultaneously by one monitor (user) is limited, when the number of monitoring cameras increases as the area to be monitored increases, it is necessary to preferentially monitor a part of them. There is.
Conventionally, in a general monitoring screen display form, one screen is displayed as 4 images divided by 2 × 2, 9 images divided by 3 × 3, 16 images divided by 4 × 4, and the like. , Not all the images that can be monitored, but some limited images are displayed on one screen. At this time, there is no specific standard for selecting some of the many cameras, and it is often determined simply by the order of the registration numbers of the surveillance cameras and the preference of the setter. For example, in the prior art of Patent Document 1, the monitoring targets are grouped according to the purpose of monitoring, and are set in advance so that they can be displayed together for each monitoring target.

JP-A-2005-129999

  As described above, in the conventional video monitoring, when monitoring images of a plurality of cameras are displayed as thumbnails in one screen on the display, a plurality of cameras grouped in advance are displayed in the order of camera numbers. . For this reason, when performing grouping, it is required that the user fully understands the monitoring target, and further experience of grouping surveillance cameras is required. Also, even if the user has grouping experience, the setting work for grouping takes a lot of work, and it can handle all conditions such as changing the number of thumbnails and the monitoring range. Preparing the settings in advance was not practical.

  The present invention has been made in order to solve the above-described problems, and manages the surveillance cameras in a logical hierarchical structure considering the arrangement of the surveillance cameras, and automatically assigns priorities to the surveillance cameras. Accordingly, it is an object to selectively display an appropriate representative image from among a large number of camera images in a certain monitoring area, thereby eliminating the need for user setting work and improving the monitoring efficiency.

In order to solve the above-described problem, the surveillance camera video display device of the present invention includes:
A hierarchical structure in which nodes in the monitoring target area grouped based on the physical arrangement of a plurality of surveillance cameras are hierarchized by links of higher or lower levels, and the camera node corresponding to the surveillance camera is in the lowest layer. The camera management configuration database that stores the camera management configuration and the hierarchical structure of the camera management configuration stored in the camera management configuration database, and based on the upper or lower relationship of the monitoring target area monitored by the monitoring camera , An evaluation value is given to the monitoring camera, and a representative camera selection unit that selects a monitoring camera to be displayed as a representative camera from a plurality of monitoring cameras according to the evaluation value is provided.

  According to the present invention, monitoring cameras are managed in a logical hierarchical structure considering the arrangement of the monitoring cameras, and priorities are automatically assigned to the monitoring cameras. Therefore, by selectively displaying appropriate representative video, it is unnecessary to perform user setting work that required grouping the surveillance cameras for the number of displays in advance, and it is efficient with a limited number of surveillance cameras. This has the effect of enabling continuous monitoring.

It is a block diagram which shows an example of the monitoring camera video display apparatus which concerns on Embodiment 1 of this invention. It is a figure which shows an example of an internal structure of the representative camera selection part. It is a figure which shows an example of the hierarchical structure (camera management structure) according to the logical meaning which shows the physical arrangement | positioning information of a surveillance camera. It is a figure which shows the node table 10 expressing each node of a camera management structure. It is a figure which shows the link table 20 expressing each link of a camera management structure. 10 is a flowchart showing the operation of a camera ranking unit 503 in the representative camera selection unit 5. 5 is a diagram illustrating an example of a camera evaluation table 30. FIG. It is an example which described the evaluation value of the narrowing-down condition 1 of each surveillance camera with respect to the graph structure of the camera management configuration shown in FIG. It is the example which described the evaluation value of the narrowing-down conditions 1 and the narrowing-down conditions 2 of each surveillance camera with respect to the graph of the camera management structure shown in FIG. It is a figure which shows an example of the camera order | rank table. It is a figure which shows an example of the proximity degree table. It is a figure of the example which described the proximity degree with respect to camera node C4. It is a figure of the example which described the proximity degree total with respect to camera node C4. It is a figure which shows the result of having totaled each proximity degree about two selected cameras of camera node C4 and C7. It is a flowchart which shows operation | movement of the camera ranking part 503 when the origin camera is designated by the origin camera number designation | designated part 501 at the time of abnormality occurrence.

Embodiment 1 FIG.
FIG. 1 is a configuration diagram showing an example of a monitoring camera video display device according to Embodiment 1 of the present invention.
In FIG. 1, the video reception unit 2 receives the monitoring video transmitted from the plurality of monitoring cameras 1, and the received video is displayed on the display by the video display unit 6. The monitoring video data received by the video receiver 2 may be analog data connected by a dedicated line or digital data connected by a LAN (Local Area Network). The camera management configuration database 3 is a database that stores a camera management configuration that is information for managing a plurality of surveillance cameras in a logical hierarchical structure. The monitoring target management unit 4 manages the camera management configuration stored in the camera management configuration database 3 as a monitoring target. The representative camera selection unit 5 acquires the camera management configuration from the monitoring target management unit 5 and selects, from among the monitoring cameras managed by the camera management configuration, the monitoring camera representatively displayed on the video display unit 6 as the representative camera. To do. When displaying the monitoring video, the video display unit 6 acquires information on the representative camera selected by the representative camera selection unit 5 and displays the monitoring video of the representative camera.

FIG. 2 is a diagram illustrating an example of an internal configuration of the representative camera selection unit 5.
In FIG. 2, the representative camera selection unit 5 includes a narrowing specification unit 500, a starting camera number specification unit 501, and a camera management configuration input unit 502 as input system means. The narrowing specification unit 500 is a means by which a user can designate a narrowing condition used when selecting a representative camera. The starting camera number specifying unit 501 is a means by which the user can specify the starting camera to be displayed first. In addition, designation | designated by these users is arbitrary and what is necessary is just to acquire as needed. The camera management configuration input unit 502 acquires the camera management configuration from the monitoring target management unit 4.

  The camera ranking unit 503 obtains a number indicating the narrowing condition (narrowing condition number) from the narrowing specification unit 500, acquires a number indicating the starting camera (starting camera number) from the starting camera number specifying unit 501, and The camera management configuration is acquired from the camera management configuration input unit 502. The camera ranking unit 503 determines a priority order for selecting a representative camera based on the narrowing-down conditions designated by these users and the camera management configuration.

  The camera display number designation unit 504 is a means by which the user can designate the number of monitoring videos to be displayed. The camera number output unit 505 acquires the camera display number from the camera display number designation unit 504 and displays the number of camera displays from the top of the priority order determined by the camera ranking unit 503 in order to display the monitoring video on the display. The representative camera number of is output.

Next, the camera management configuration will be described.
In a monitoring system using a plurality of surveillance cameras, a plurality of surveillance cameras are often managed in groups. As a grouping method, it is conceivable to make a grouping by giving meaning to the physical arrangement of surveillance cameras. Physical location information is stored and managed as two-dimensional (or three-dimensional) information such as absolute coordinates and latitude / longitude, and country, prefecture, municipality, street address, etc. In some cases, it is held and managed in a hierarchical structure. Although it is possible to divide indoors and sites into meshes and group the surveillance cameras in units of divided cells, it is easier for people to understand by managing them in a logical hierarchical structure. For this reason, in the embodiment of the present invention, a camera management configuration will be described as an example of a method for managing surveillance cameras with a logical hierarchical structure.

FIG. 3 is a diagram illustrating an example of a hierarchical structure (camera management configuration) according to a logical meaning indicating the physical arrangement information of the monitoring camera.
In this example of the camera management configuration, the root has a node meaning “building 2” at the top layer. Depending on the area to be monitored, there may be an upper node such as a section or an address. In the lower layer of the node representing the building “second building”, there is a node meaning a floor such as “2F” or “3F”. Nodes are connected with links to form a parent-child relationship structure. In addition, a node indicating a role type of a room or area such as “machine room”, “reception area”, “office”, “corridor” is provided in a lower layer of a node representing a floor. Furthermore, in the lower layer of the node of the role of room or area, “rack front row”, “rack rear row”, “operation PC”, “A”, “B”, “first section”, “second section”, “ It has a node that directly means the area to be monitored, such as “Section 3”, “Department Manager”, “East”, “West”. Furthermore, a node indicating the numbers of the monitoring cameras “C1” to “C14” is provided in a lower layer of the node in the monitoring target area. The structure of the lower layer may be simplified by grouping to reduce the number of hierarchies or may be further subdivided to increase the number of hierarchies for grouping.

Hereinafter, an example of a specific expression format of the camera management configuration will be described. 4 and 5 are representation formats when the hierarchical structure shown in FIG. 3 is stored in the camera management configuration database 3 as a graph structure represented by nodes and links.
FIG. 4 is a diagram illustrating a node table 10 representing each node of the camera management configuration.
In FIG. 4, the node table 10 includes three columns of “NodeID” 11, “Name” 12, and “Level” 13. The “NodeID” 11 column stores a unique value for identifying a node having a graph structure. In the “Name” 12 column, a character string for allowing a person to understand the node of the graph structure is stored. The “Level” 13 column stores the layer number of the graph structure. In this example, the lowest camera number layer is level 1. Hereinafter, the level 1 node is referred to as a camera node. The “Level” 13 column may be omitted.

FIG. 5 is a diagram showing a link table 20 representing each link of the camera management configuration.
In FIG. 5, the link table 20 includes three columns of “LinkID” 21, “From Node” 22, and “To Node” 23. The “LinkID” 21 column stores a unique value for identifying a link connecting the nodes of the graph structure. In the “From Node” 22 column, “NodeID” 11 of the node that is the start point connected by the link is stored. In the “To Node” 23 column, “NodeID” 11 of the node that is the end point connected by the link is stored.
By reading the information of the node table 10 and the link table 20 expressed in this way, a graph structure as shown in FIG. 3 can be developed on the memory.

Next, details of the operation of the camera ranking unit 503 that prioritizes each surveillance camera in order to select a representative camera in the representative camera selection unit 5 will be described.
FIG. 6 is a flowchart showing the operation of the camera ranking unit 503 in the representative camera selection unit 5.
First, in step S1, the camera ranking unit 503 acquires the camera management configuration from the camera management configuration input unit 502 and develops it in a graph structure on the memory.

Next, in step S <b> 2, the camera ranking unit 503 acquires a narrowing condition number indicating the narrowing condition from the narrowing designation unit 500. The narrowing conditions are, for example, the following three conditions.
-Narrowing condition 1: Give priority to surveillance cameras that cover many areas.
-Refinement condition 2: Priority is given to surveillance cameras that cover distant areas.
Refinement condition 3: Select a surveillance camera that can uniformly monitor the entire surveillance area.
A plurality of filtering condition numbers to be acquired may be acquired, or no filtering conditions may be obtained. Further, as a default, all narrowing conditions may be applied.

Next, in step S <b> 3, the camera ranking unit 503 initializes the camera evaluation table 30. The camera evaluation table 30 is a temporary work table for setting camera priorities.
FIG. 7 is a diagram illustrating an example of the camera evaluation table 30.
In FIG. 7, the camera evaluation table 30 includes three columns of “CameraID” 31, “Filtering 1” 32, “Filtering 2” 33, and “Neighborhood degree total” 34. The “CameraID” 31 column stores a unique number for uniquely identifying a camera. The “refinement 1” 32 column stores an evaluation value when the narrowing condition 1 is applied. The “refining 2” 33 column stores an evaluation value when the refining condition 2 is applied. The “total neighborhood” 34 column stores an evaluation value when the narrowing-down condition 3 is applied. In the initialization of the camera evaluation table 30, all column values are set to zero.

  Next, in step S4, the camera ranking unit 503 determines whether or not the narrowing-down condition 1 is specified. If the narrowing-down condition 1 is not specified, the process proceeds to step S7. If specified, the process proceeds to step S5.

Next, in step S5, the camera ranking unit 503 counts the number of links connected to each camera node for all the monitoring cameras.
Since the camera node is located at the bottom of the hierarchical graph of the camera management configuration, all links to the camera node are connected as end points. The number of links connected to the camera node is equal to the number of nodes (parent nodes) one level higher than the camera node, and corresponds to how many monitoring targets are included in the field of view of a certain camera. Therefore, it is considered that the number of links connected to the camera node represents the degree of “covering many areas” in the narrow-down condition 1.

In step S 6, the camera ranking unit 503 stores the number obtained by counting the number of links of each camera node as an evaluation value in the “narrowing 1” 32 column of the camera evaluation table 30. Update.
FIG. 8 is an example in which the evaluation value of the narrowing-down condition 1 for each monitoring camera is described in the graph structure of the camera management configuration shown in FIG. In this example, the evaluation value of the C3 camera and the C4 camera is 3, the evaluation value is the largest among all the surveillance cameras, and the evaluation of the degree of “covering many areas” in the narrowing-down condition 1 is high. It is shown that.

  Next, in step S7, the camera ranking unit 503 determines whether or not the narrowing-down condition 2 is specified. If the narrowing-down condition 2 is not designated, the process proceeds to step S10, and if designated, the process proceeds to step S8.

Next, in step S8, the camera ranking unit 503 reaches each of the plurality of links connected to each camera node when each link is further advanced to a higher level and reaches the same common node as an ancestor. The number of hierarchies between the common node and the camera node is acquired. For a certain camera node, when a plurality of hierarchies are obtained through different link paths, the maximum value is used as the evaluation value. Further, the number of hierarchies is set to 0 for a camera node with one link.
The number of hierarchies up to the common node (common ancestor) of the camera node indicates the logical classification level of surveillance management, and the logical classification level of cameras that monitor logically more distant areas is higher. It will be located at the top. Therefore, the number of hierarchies up to the common node (common ancestor) is considered to indicate the degree of “covering a distant area” in the narrow-down condition 2.

Next, in step S <b> 9, the camera ranking unit 503 stores the number of layers acquired for each camera node as an evaluation value in the “Filter 2” 33 column of the camera evaluation table 30, and updates the camera evaluation table 30. To do.
FIG. 9 is an example in which the evaluation values of the narrowing-down condition 1 and the narrowing-down condition 2 of each monitoring camera are written in the camera management configuration graph shown in FIG. In this example, the C4 camera indicates that the narrowing-down condition 2 has the largest value, and the evaluation of the degree of “covering a distant area” in the narrowing-down condition 2 is high.

  Next, in step S10, the camera ranking unit 503 determines whether or not the narrowing-down condition 3 is specified. If the narrowing-down condition 3 is not specified, the process proceeds to step S11. If specified, the process proceeds to step S13.

  Next, in step S11, the camera ranking unit 503 sorts (rearranges) the camera evaluation table 30. The sort key condition is, for example, sorting in a descending order in the order of “narrowing 1” 32 columns and “narrowing 2” 33 columns.

Next, in step S12, the camera ranking unit 503 adds (copies) all the sorted records of the camera evaluation table 30 to the camera ranking table 40 in order from the head.
FIG. 10 is a diagram illustrating an example of the camera ranking table 40.
In FIG. 10, the camera ranking table 40 includes one column of “CameraID” 41. The “CameraID” 41 column stores a number for uniquely identifying a camera in order of camera priority. This camera ranking table 40 becomes an output result of the camera ranking assigning unit 503, is passed to the camera number output unit 505, and the processing of the camera ranking assigning unit 503 is completed.

Next, in step S <b> 13 that proceeds when the narrowing-down condition 3 is designated, the camera ranking unit 503 initializes the proximity degree table 50.
FIG. 11 is a diagram illustrating an example of the proximity table 50.
The proximity degree table 50 includes n “neighbor n” columns such as “Camera ID” 51, “neighbor 1” 52, and “neighbor 2” 53. In this case, n is equal to the number of surveillance cameras. In the “CameraID” 51 column, a number for uniquely identifying the camera is stored. The “neighbor 1” 52 column, “neighbor 2” 53 column,..., “Neighbor n” column stores the degree of proximity from a specific camera. The specific camera is sequentially determined after step S14. The degree of proximity will be described in step S17.

  Next, in step S14, the camera ranking unit 503 sorts (rearranges) the camera evaluation table 30. The sorting key conditions are “total neighborhood” 34 columns, “squeezed 1” 32 columns, and “squeezed 2” 33 columns, both in descending order. In the first loop, the value “0” at the time of initialization is stored in the “total neighborhood” 34 column, so the sorting results are the values of the “filter 1” 32 column and the “filter 2” 33 column. Depends on.

Next, in step S <b> 15, the camera ranking unit 503 sets the values (camera numbers) in the “CameraID” 31 column of the top camera in the sorted camera evaluation table 30 in order from the first record in the camera ranking table 40. Store in an empty record (value 0). The monitoring camera with the selected camera number can be identified by setting a selected flag or the like. In the first loop, the camera number is stored in the “CameraID” 31 column of the first record.
For example, in the example of FIG. 9, the highest camera obtained after sorting from the values of the narrowing down 1 and the narrowing down 2 is a C4 camera. When the evaluation values are the same, a result sorted in camera number order is obtained.

  Next, in step 16, the camera ranking unit 503 determines whether there is a value in the last record of the camera ranking table 40 or whether there is an unselected camera by checking for the presence or absence of a selected flag. To do. If there is an unselected camera, the process proceeds to step S17. If there is no unselected camera, the process ends with the camera ranking table 40 at that time as the output result of the camera ranking unit 503.

Next, in step S <b> 17, the camera ranking unit 503 acquires the degree of proximity to the selected camera for all cameras. The degree of proximity corresponds to, for example, the distance / nearness of the relatives in the family tree. There is no proximity to the person. A node having a sibling relationship, that is, a node having the same parent, has a proximity of 1. A node having a cousin relationship, that is, a node having the same grandfather has a proximity of 2. Hereinafter, the number of hierarchies up to the same ancestor is set as the value of the proximity. The maximum value of the degree of proximity is the number of hierarchies up to the node that is the highest route, and always reaches the same node.
FIG. 12 is a diagram of an example in which the degree of proximity to the camera node C4 is described. For example, since the camera nodes C2 and C3 have a sibling relationship with “rack back row” as a parent, the degree of proximity is 1. Further, since the camera node C10 has a cousin relationship with “office” as the grandfather, the degree of proximity is 2.

  By using such a degree of proximity, representative cameras are selected so as not to exist in the neighborhood as much as possible, so that it is possible to select “a monitoring camera that can uniformly monitor the entire monitoring area” in the narrowing-down condition 3. become. For example, as described above, when the number of hierarchies up to an ancestor with the same node is used as the value of the proximity level, it means that the higher the proximity level is, the less the neighborhood exists. By preferentially selecting cameras, it is possible to select surveillance cameras that can be equally monitored so as to cover the entire surveillance area.

  Next, in step 18, the camera ranking unit 503 updates the proximity degree table 50 by storing the obtained proximity degrees in the proximity degree table 50 in the order of the numbers in the “neighbor n” column. In the first loop, “Neighbor 1” is stored in the 52 column. Null value is stored for the proximity degree of the person (no proximity degree). In the example of FIG. 11, the proximity is stored up to two columns in the neighborhood table 50.

  Next, in step 19, the camera ranking unit 503 takes the total degree of proximity. The total degree of proximity means that the values of the stored columns in the degree of proximity table 50 are summed in the horizontal direction for each record. In the first loop, the value in the “neighbor 1” 52 column is the total neighborhood degree as it is.

  Next, in step 20, the camera ranking unit 503 stores the total proximity in the “neighborhood total” 34 column of the camera evaluation table 30. Then, it progresses to step S14 by a loop.

Next, as described above, in step S14, the camera ranking unit 503 sorts the camera evaluation table 30, stores the highest camera in the camera ranking table 40 in step S15, and sets it as the selected camera.
FIG. 13 is a diagram illustrating an example in which the total degree of proximity to the camera node C4 is described. In the example of FIG. 13, among the three cameras having the maximum total degree of proximity in the order of sorting, the monitoring camera of C7 having the largest “narrowing 1” becomes the selected camera.

Next, after determining the unselected camera in step S16 as described above, the camera ranking unit 503 acquires the proximity of the camera selected in step S17, and stores it in the proximity table 50 in step S18. In step S19, the neighborhood degree is summed.
FIG. 14 is a diagram illustrating a result of summing up the respective degrees of proximity (neighbor 1, neighbor 2) for two selected cameras of camera nodes C4 and C7.
In this way, the camera ranking unit 503 stores the total degree of proximity in the camera evaluation table 30, and thereafter repeats the loop until there is no unselected camera under the condition of step S16.

  As described above, the camera ranking unit 503 ranks the cameras, and the camera display number designation unit 504 in FIG. 2 designates the number of monitoring videos to be displayed on the display by the user, and the camera number output unit. 505 outputs the upper camera number (CameraID) of the camera ranking table 40 by the designated number of displays, so that the video display unit 6 in FIG. 1 displays the monitoring video of a representative monitoring camera on the display.

As described above, according to the present invention, the monitoring cameras are managed in a logical hierarchical structure considering the arrangement of the monitoring cameras, and the priority is automatically assigned to the monitoring cameras. By selectively displaying the appropriate representative video from the camera video, there is no need for user setting work that required the grouping of surveillance cameras for the number of displays in advance, and a limited number of monitoring This has the effect of enabling efficient monitoring with camera images.
In addition, since the camera display number designation unit 504 allows the user to designate the number of monitoring videos to be displayed on the display, the number of monitoring cameras to be displayed can be freely changed.
In addition, even when the area to be monitored, such as the entire building, floor, or room, is changed, the most suitable representative camera is selected without presetting, and efficient monitoring is performed with a limited number of monitoring camera images. Can be performed.

Embodiment 2. FIG.
In the first embodiment, in order to select a limited number of monitoring video images for display from among a plurality of monitoring cameras on the assumption of normal overall monitoring, prioritization of monitoring cameras is performed. A representative camera is selected, but when an abnormality occurs, it is necessary to select or switch the monitoring camera to be displayed based on completely different criteria. When an abnormality occurs, a specific monitoring target is first determined by an event detected by a sensor or a visual observation by a monitor. Subsequently, an operation for sequentially switching the monitoring camera to the surrounding monitoring video and the related monitoring video is performed. In the second embodiment, a method of performing ranking for sequentially switching the monitoring cameras from such a specific monitoring camera will be described.

  If any abnormality occurs during monitoring by the monitor, first, the starting camera number designating unit 501 in FIG. 2 designates the camera number to be watched as the monitoring target as the starting camera number. The starting camera number may be specified by human judgment, or the camera number that captures the monitoring target may be automatically specified in conjunction with the sensor.

FIG. 15 is a flowchart showing the operation of the camera ranking unit 503 when the starting camera is specified by the starting camera number specifying unit 501 when an abnormality occurs.
Hereinafter, according to the flowchart of FIG. 15, the ranking operation for sequentially switching the monitoring camera from the designated starting camera will be described.

  First, in step S21, the camera ranking unit 503 acquires the camera management configuration from the camera management configuration input unit 502 and develops it in a graph structure on the memory.

  Next, in step S <b> 22, the camera ranking unit 503 initializes the camera evaluation table 30. Similar to the first embodiment, the camera evaluation table 30 is a temporary work table for assigning priorities to surveillance cameras. In the initialization of the camera evaluation table 30, all column values are set to zero.

  Next, in step S23, the camera ranking unit 503 acquires the starting camera number from the starting camera number designating unit 501. In step S24, the camera evaluation table 30 is referred to, and “ Information indicating that the camera is the origin camera, for example, (−1) is stored in the “total neighborhood” 34 column in the record of “CameraID” 31.

  Next, in step S25, the camera ranking unit 503 initializes the proximity degree table 50. Similar to the first embodiment, the proximity table 50 is a table that temporarily stores the proximity of the camera.

  Next, in step S <b> 26, the camera ranking unit 503 sorts (rearranges) the camera evaluation table 30. The sorting key conditions are “neighborhood total” 34 columns, “squeezed 1” 32 columns, “squeezed 2” 33 columns, “neighborhood total” 34 columns in ascending order, “squeezed 1” 32 columns “Refine 2” column 33 is sorted in descending order. In the first loop, the “narrowing 1” 32 column and the “narrowing 2” 33 column store the initialized value 0, and the “total neighborhood” 34 column contains the source camera number column. Since only (-1) is stored, the result of sorting is that the record of the surveillance camera storing the starting camera number comes to the top.

  Next, in step S <b> 27, the camera ranking unit 503 sequentially sets the values (camera numbers) of the “CameraID” 31 column of the highest camera in the sorted column evaluation table 30 in order from the first record in the camera ranking table 40. Store in an empty record (value 0). The camera with the selected camera number is identified by setting a selected flag or the like. In the first loop, the camera number is stored in the “CameraID” 31 column of the first record.

  Next, in step S28, the camera ranking unit 503 determines whether or not an unselected camera remains, for example, by checking the presence or absence of a selected flag. If there is an unselected camera, the process proceeds to step S29. If there is no unselected camera, the camera ranking table 40 at that time is used as a result of the camera ranking unit 503, and the process is terminated.

  In step S29, the camera ranking unit 503 acquires the degree of proximity to the selected camera for all cameras. Similar to the first embodiment, the degree of proximity is the value of the degree of proximity having the number of hierarchies up to the same ancestor.

  Next, in step S30, the camera ranking unit 503 updates the proximity degree table 50 by storing the proximity degrees acquired in step S29 in the proximity degree table 50 in the order of the numbers in the “neighboring n” column. In the first loop, “Neighbor 1” is stored in the 52 column. Null value is stored for the proximity degree of the person (no proximity degree).

  Next, in step 31, the camera ranking unit 503 takes the total degree of proximity. The total degree of proximity means that the values of the stored columns in the degree of proximity table 50 are summed in the horizontal direction for each record. In the first loop, the value in the “neighbor 1” 52 column is the total neighborhood degree as it is.

  Next, in step 32, the camera ranking unit 503 stores the total proximity in the “neighborhood total” 34 column of the camera evaluation table 30. Then, it progresses to step S26 by a loop. Thereafter, as in the first embodiment, the loop is repeated until there is no unselected camera.

  The difference between the processing of the second embodiment and the latter half of the processing of the first embodiment (ranking processing based on the proximity) is whether the proximity is set in ascending order or descending order by the sorting method of the camera evaluation table 30. Is the difference. In the first embodiment, the cameras that are not in the neighborhood as much as possible are selected sequentially by setting the descending order. In the second embodiment, the cameras that are as close as possible are sequentially selected in the ascending order. ing.

  As described above, according to the present invention, since the priority order of the monitoring cameras is determined in the order of the neighboring peripheral cameras in order, including the designated starting camera, the display camera is associated with the monitoring cameras in advance. Without grouping the cameras, it is possible to appropriately display the monitoring camera video in the order of peripheral cameras with higher priority as monitoring targets.

DESCRIPTION OF SYMBOLS 1 Surveillance camera, 2 Video | video receiving part, 3 Camera management structure database, 4 Surveillance object management part, 5 Surveillance object management part, 500 Narrowing designation | designated part, 501 Origin camera number designation | designated part, 502 Camera management structure input part, 503 Camera ranking Part, 504 camera display number designation part, 505 camera number output part, 6 video display part, 10 node table, 20 link table, 30 camera evaluation table, 40 camera ranking table, 50 proximity degree table.

Claims (7)

The nodes in the monitoring target area grouped based on the physical arrangement of a plurality of surveillance cameras are hierarchized by links of higher or lower levels, and the hierarchical structure has the camera node corresponding to the surveillance camera as the lowest layer. a camera management configuration database that stores certain camera management structure,
By referring to the hierarchical structure of the camera management configuration stored in the camera management configuration database, an evaluation value is given to the monitoring camera based on the upper or lower relationship of the monitoring target area monitored by the monitoring camera. A surveillance camera video display device comprising: a representative camera selection unit that selects a surveillance camera to be displayed as a representative camera from among a plurality of surveillance cameras according to a value. The monitoring camera video display device according to claim 1, wherein the representative camera selection unit gives the number of links connected to the camera node of the camera management configuration to the monitoring camera as an evaluation value . The representative camera selection unit traces a plurality of links connected to the camera node of the camera management configuration to an upper layer for each camera node, and between the common node that is the same as an ancestor node and the camera node. The monitoring camera image display device according to claim 1, wherein the number of layers is given to the monitoring camera as an evaluation value . The representative camera selection unit follows the first camera node having the camera management configuration and the second camera node having any one of the camera management configurations other than the first camera node, to the upper layer, and from the camera node, obtains the number of layers to a common node which is the same as the node ancestor of the first and second camera node as a neighbor of the second camera node for said first camera node, the The monitoring camera video display device according to claim 1, wherein the evaluation value is given to the monitoring camera based on a degree of proximity. The representative camera selection unit includes a narrowing specification unit for a user to specify a narrowing condition indicating a condition for giving an evaluation value to the monitoring camera,
The monitoring camera video display device according to claim 1, wherein the representative camera is selected based on the narrowing-down condition specified by a user and the camera management configuration . The representative camera selection unit includes a camera display number designating unit by which a user designates the number of monitoring videos to be displayed.
The monitoring camera image display device according to claim 1, wherein the representative cameras having the number of monitoring images specified by a user are selected . The nodes in the monitoring target area grouped based on the physical arrangement of a plurality of surveillance cameras are hierarchized by links of higher or lower levels, and the hierarchical structure has the camera node corresponding to the surveillance camera as the lowest layer. A camera management configuration database for storing a camera management configuration;
A representative camera selection unit that selects a surveillance camera to be displayed as a representative camera from among a plurality of surveillance cameras;
The representative camera selection unit
A starting camera number designating unit that the user designates as the starting camera the surveillance camera to be displayed first;
The first camera node corresponding to the origin camera and the second camera node that is one other than the first camera node are traced to the upper layer, and the first and second from the second camera node. The number of hierarchies up to a common node that is the same as an ancestor node of the camera node is acquired as the proximity of the second camera node to the first camera node, and the surveillance camera is represented as a representative camera based on the proximity A surveillance camera video display device comprising a camera ranking unit selected as

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