JP2005215820A - Condition recognition monitoring system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To realize a condition recognition monitoring system capable of being constructed without providing any central control server for managing the whole system. <P>SOLUTION: This condition recognition monitoring system for recognizing conditions based on information acquired by a detecting means is provided with: a plurality of monitor cameras being detecting means for photographing a monitor object, and transmitting a video through a network and executing intercommunication with the other monitor cameras; and a client for receiving and displaying the video photographed by each monitor camera through the network. The monitor camera which has detected the change of the situation of the monitor object transmits the location information of the monitor camera which has detected the change of the situation of the monitor object and a video collection range necessary for congestion recognition processing, and requests the collection of the videos through the network to the adjacent monitor camera. In analyzing all the videos collected from the video collection range necessary for the congestion recognition processing, and recognizing the generation of congestion, the client is notified of the congestion generation information. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

  The present invention relates to a situation recognition monitoring system for recognizing a situation such as traffic congestion on the basis of information obtained by detection means such as a monitoring camera, and in particular, the system can be constructed without a central management server for managing the entire system. It relates to a possible situation awareness monitoring system.

  Prior art documents related to a situation recognition monitoring system for recognizing a situation such as a traffic jam on the basis of information obtained by a detection means such as a conventional monitoring camera include the following.

JP 09-054890 A JP 09-083996 A Japanese Patent Laid-Open No. 11-144192 Japanese Patent Laid-Open No. 2002-008185 JP 2002-024988 A JP 2002-150483 A

  One example of a conventional situation recognition and monitoring system that recognizes traffic conditions is a traffic congestion recognition and monitoring system, which captures the situation of each road as a video using multiple surveillance cameras that are located at each important point of the road and connected by a network. Then, by analyzing the video taken by the central management computer, the occurrence of traffic congestion is recognized and notified to the client connected via the network.

  FIG. 14 is a configuration block diagram showing an example of such a conventional situation recognition monitoring system. In FIG. 14, 1, 2, 3 and 4 are monitoring cameras that shoot a monitoring target and transmit images via the network and recognize the status of the monitoring target, and 5 is a central management server that performs centralized management of each monitoring camera , 6 is a client such as a computer that receives and displays images taken by each surveillance camera from a remote place via the network, and 100 is a general-purpose network such as the Internet.

  The monitoring cameras 1, 2, 3, and 4 are connected to the network 100, and the central management server 5 is also connected to the network 100. The client 6 is also connected to the network 100.

  Here, the operation of the conventional example shown in FIG. 14 will be described with reference to FIGS. 15, 16, 17, 18, 19, 20, and 21. FIG. 15 is a flowchart for explaining the operation of the surveillance camera, FIG. 16 is an explanatory diagram for explaining the recognition of the status change of the monitoring target, and FIGS. 17, 19, and 20 are explanatory diagrams for explaining the information transmission status. 18 is a flowchart for explaining the operation of the central management server 5, and FIG. 21 is an explanatory diagram for explaining an example of the display screen of the client 6.

  In “S001” in FIG. 15, the monitoring camera 1 captures a monitoring target video, and in “S002” in FIG. 15, the monitoring camera 1 determines whether or not the status of the monitoring target has changed. If it is determined that there is no change in the status of the monitoring target in “S002” in FIG. 15, the process returns to the step “S001” in FIG.

  For example, it is assumed that the monitoring camera indicated by “CM01” in FIG. 16 targets the road indicated by “RD01” in FIG. In addition, automobiles such as “CR01”, “CR02”, “CR03”, and “CR04” in FIG. 16 are traveling on the road indicated by “RD01” in FIG.

  The monitoring camera indicated by “CM01” in FIG. 16 recognizes a change in the situation of the road to be monitored based on the number of automobiles and the like reflected in the captured video.

  For example, the monitoring camera indicated by “CM01” in FIG. 16 determines that the status of the monitoring target has changed when three or more cars are shown in the captured video. That is, in the explanatory diagram shown in FIG. 16, the monitoring camera indicated by “CM01” in FIG. 16 shows three cars “CR01”, “CR02” and “CR03” in FIG. Is determined to have changed.

  If it is determined that the status of the monitoring target has changed in “S002” in FIG. 15, the monitoring camera 1 determines that the status of the monitoring target in the central management server 5 via the network 100 in “S003” in FIG. Notification of changes.

  For example, when an event (change in the status of the monitoring target) is detected in the monitoring camera 1 as indicated by “EV11” in FIG. 17, the monitoring camera 1 passes through the network 100 as indicated by “SM11” in FIG. The central management server 5 is notified that the status of the monitoring target has changed.

  On the other hand, in “S101” in FIG. 18, the central management server 5 determines whether or not a status change notification has been received from each of the monitoring cameras 1 to 4 via the network 100 and determines that no status change notification has been received. In that case, the process returns to the step “S101” in FIG.

  If it is determined that the status change notification is received in “S101” in FIG. 18, the central management server 5 in “S102” in FIG. 18 has the monitoring camera adjacent to the monitoring camera that has received the status change notification. Collect videos.

  For example, as shown in “SD21”, “SD22”, and “SD23” in FIG. 19, the central management server 5 detects the event indicated by “EV01” in FIG. Along with the images, the images of the adjacent monitoring cameras 2 and 3 are also collected.

  Then, in “S103” in FIG. 18, the central management server 5 analyzes the collected video to determine whether or not the occurrence of the traffic jam has been recognized, and if the traffic jam has not been recognized, FIG. Return to the middle “S101” step.

  If it is determined that the occurrence of the traffic jam is recognized in “S103” in FIG. 18, the central management server 5 notifies the client 6 of the traffic jam occurrence information in “S104” in FIG.

  For example, the central management server 5 transmits traffic jam occurrence information to the client 6 via the network 100 as indicated by “SI31” in FIG.

  Finally, the client 6 displays the traffic jam occurrence information received from the central management server 5 via the network 100 on the display means.

  For example, window screens such as “WD41”, “WD42” and “WD43” in FIG. 21 are displayed on the display screen of the client 6 indicated by “DS41” in FIG. Assume that the current road conditions taken in 1-4 are displayed in real time.

  When traffic jam occurrence information is received from the central management server 5 in such a situation, the client 6 displays “ID41” in FIG. 21 on the window screen corresponding to the monitoring camera that detected the event (change in the status of the monitoring target). By performing the display as shown, the user operating the client 6 is informed of the occurrence of the traffic jam.

  As a result, the monitoring camera that has detected the event (change in the status of the monitoring target) notifies the central management server 5 to that effect, and the central management server 5 that has received the notification focuses on the monitoring camera that has received the status change notification. When the occurrence of traffic congestion is recognized by collecting the video of the surveillance camera adjacent to the camera 6 and recognizing the occurrence of traffic congestion, the client 6 is notified of the traffic congestion occurrence information, thereby recognizing the situation such as traffic congestion on the road. It becomes possible.

  However, in the conventional example as shown in FIG. 14, since the central management server 5 performs the recognition processing of the entire system, the load is concentrated on the central management server 5. As a result, there was a problem that the cost would increase accordingly.

  In addition, in such a situation awareness monitoring system, in order to avoid a system down due to a system failure as much as possible, it is necessary to take measures for improving reliability such as redundantly arranging a plurality of servers, There was a problem that the cost would increase further.

Furthermore, when a monitoring camera is added or deleted due to maintenance or function expansion of the situation recognition monitoring system, the central management server 5 that manages the monitoring camera to be added or deleted is managed again. There is a need to make settings and adjustments, and there is a problem that the central management server must be temporarily stopped depending on the specifications of the applications running on the central management server 5.
Therefore, the problem to be solved by the present invention is to realize a situation recognition monitoring system capable of constructing a system without providing a central management server for managing the entire system.

In order to achieve such a problem, the invention according to claim 1 of the present invention is:
In the situation recognition monitoring system that recognizes the situation based on the information obtained by the detection means,
A plurality of surveillance cameras, which are the detection means for capturing an object to be monitored and transmitting images via a network and performing mutual communication between the surveillance cameras, and images captured by the respective surveillance cameras are received via the network. With a client to display,
The monitoring camera that has detected the change in the status of the monitoring target has the position information of the monitoring camera that has detected the change in the status of the monitoring target with respect to the adjacent monitoring camera via the network and the video collection range necessary for the traffic jam recognition process. When sending and requesting video collection, analyzing all the video collected from the video collection range necessary for traffic jam recognition processing and recognizing the occurrence of traffic jam, notifying the client of traffic jam occurrence information Thus, it is possible to construct a situation recognition monitoring system that recognizes the situation such as traffic jams without providing a central management server that manages the entire system. In addition, since a central management server that manages the entire system is not required, even if a malfunction occurs in some of the surveillance cameras, the situation-recognition and monitoring system does not go down and the system is reliable. improves. In addition, even when monitoring cameras are added or deleted due to maintenance or function expansion of the situation awareness monitoring system, there is no need to reconfigure or adjust the central management server, so there is no need for reconfiguration, etc. Therefore, there is no need to temporarily stop the central management server, so that the reliability of the system is improved.

The invention according to claim 2
In the situation recognition monitoring system according to claim 1,
The monitoring camera that has detected a change in the status of the monitoring target, or the monitoring camera that has received a video collection request from an adjacent monitoring camera,
A monitoring camera that is adjacent to the network via the network, and that requests the video collection to the monitoring camera that exists within the video collection range necessary for the received traffic jam recognition processing, and requests the video collection. The system detects the change in the status of the monitoring target requesting its own video and location information together with the video and location information acquired when the video and location information are received. By transmitting to a monitoring camera or an adjacent monitoring camera, it is possible to construct a situation recognition monitoring system that recognizes a situation such as traffic congestion on a road without providing a central management server for managing the entire system. In addition, since a central management server that manages the entire system is not required, even if a malfunction occurs in some of the surveillance cameras, the situation-recognition and monitoring system does not go down and the system is reliable. improves. In addition, even when monitoring cameras are added or deleted due to maintenance or function expansion of the situation awareness monitoring system, there is no need to reconfigure or adjust the central management server, so there is no need for reconfiguration, etc. Therefore, there is no need to temporarily stop the central management server, so that the reliability of the system is improved.

The invention described in claim 3
In the situation recognition monitoring system which is the invention according to claim 1 or claim 2,
When each of the surveillance cameras receives a request for collecting the same video in time series, the latter request is discarded, thereby suppressing an increase in the traffic on the network.

The invention according to claim 4
In the situation recognition monitoring system that recognizes the situation based on the information obtained by the detection means,
A plurality of surveillance cameras which are the detection means for sensing the object to be monitored and transmitting the image via the network and having recognition information recognized based on the image processing result of the image photographed by itself and performing mutual communication between the surveillance cameras And a client that receives and displays video captured by each of these surveillance cameras via the network,
The monitoring camera that has detected a change in the status of the monitoring target detects the change in the status of the monitoring target with respect to an adjacent monitoring camera via the network and collects the recognition information necessary for the traffic jam recognition process When the range is sent and the collection of recognition information is requested, and all the pieces of recognition information collected from the recognition information collection range necessary for the traffic jam recognition process is analyzed and the occurrence of the traffic jam is recognized, the traffic jam occurs to the client. By notifying the information, it is possible to construct a situation recognition monitoring system for recognizing a situation such as road congestion without providing a central management server for managing the entire system. In addition, since a central management server that manages the entire system is not required, even if a malfunction occurs in some of the surveillance cameras, the situation-recognition and monitoring system does not go down and the system is reliable. improves. In addition, even when monitoring cameras are added or deleted due to maintenance or function expansion of the situation awareness monitoring system, there is no need to reconfigure or adjust the central management server, so there is no need for reconfiguration, etc. Therefore, there is no need to temporarily stop the central management server, so that the reliability of the system is improved.

The invention according to claim 5
In the situation recognition monitoring system according to claim 4,
The monitoring camera that has detected a change in the status of the monitoring target, or the monitoring camera that has received a request for collecting the recognition information from an adjacent monitoring camera,
The monitoring cameras that are adjacent via the network and that are within the recognition information collection range that is necessary for the received traffic jam recognition processing are requested to collect recognition information and collect the recognition information. Wait until it receives the recognition information and setting information from the requested monitoring camera, and when it receives the recognition information and setting information, together with the recognition information and setting information obtained, the monitoring target that is the requester's own recognition information and setting information Construction of a situation recognition monitoring system that recognizes the situation of road congestion without providing a central management server for managing the entire system by transmitting to the monitoring camera that has detected a change in the situation of the vehicle or an adjacent monitoring camera Is possible. In addition, since a central management server that manages the entire system is not required, even if a malfunction occurs in some of the surveillance cameras, the situation-recognition and monitoring system does not go down and the system is reliable. improves. In addition, even when monitoring cameras are added or deleted due to maintenance or function expansion of the situation awareness monitoring system, there is no need to reconfigure or adjust the central management server, so there is no need for reconfiguration, etc. Therefore, there is no need to temporarily stop the central management server, so that the reliability of the system is improved.

The invention described in claim 6
In the situation recognition monitoring system according to claim 4 or claim 5,
When each of the monitoring cameras receives a request for collecting the same recognition information in time series, it is possible to suppress an increase in the amount of communication on the network by discarding the latter request.

The invention described in claim 7
In the situation recognition monitoring system that recognizes the situation based on the information obtained by the detection means,
A plurality of rainfall sensors as the detection means for measuring rainfall to be monitored and transmitting rainfall information via the network and performing mutual communication between the rainfall sensors, and the rainfall information measured by each of the rainfall sensors in the network With a client that receives and displays via
The rain sensor that has detected a change in the status of the monitoring target detects the change in the status of the monitoring target that has detected a change in the status of the monitoring target with respect to an adjacent rainfall sensor via the network, and the rain collection necessary for the rainfall area recognition process Sending the range and requesting the collection of rainfall information, analyzing all the rainfall information collected from the rainfall collection range necessary for the rain region recognition processing and recognizing the rain region, the rain region information to the client Thus, it is possible to construct a situation recognition monitoring system that recognizes the situation in a rainy area without providing a central management server for managing the entire system. In addition, since a central management server that manages the entire system is not required, the reliability of the system can be improved without causing the entire situation recognition monitoring system to go down even if a malfunction such as a failure occurs in some rain sensors. improves. In addition, even if a rain sensor is added or deleted due to maintenance or function expansion of the situation awareness monitoring system, resetting and adjustment of the central management server is not necessary, so there is no need for resetting work. Therefore, there is no need to temporarily stop the central management server, so that the reliability of the system is improved.

The invention described in claim 8
In the situation recognition monitoring system according to claim 7,
The rain sensor that has detected a change in the status of the monitoring target, or the rain sensor that has received a request for collecting rain information from an adjacent rain sensor,
Request rainfall information collection to the rain sensors that are adjacent to each other via the network and that are within the rainfall collection range that is necessary for the received rainfall area recognition processing. It waits until it receives rain information and position information from the rain sensor, and when it receives the rain information and position information, it sends its own rain information and position information along with the rain information and position information It is possible to construct a situation recognition monitoring system that recognizes the situation in a rainy area, etc. without providing a central management server that manages the entire system by sending it to the rainfall sensor that has detected a change in situation or an adjacent rainfall sensor become. In addition, since a central management server that manages the entire system is not required, the reliability of the system can be improved without causing the entire situation recognition monitoring system to go down even if a malfunction such as a failure occurs in some rain sensors. improves. In addition, even if a rain sensor is added or deleted due to maintenance or function expansion of the situation awareness monitoring system, resetting and adjustment of the central management server is not necessary, so there is no need for resetting work. Therefore, there is no need to temporarily stop the central management server, so that the reliability of the system is improved.

The invention according to claim 9
In the situation recognition monitoring system which is the invention according to claim 7 or claim 8,
When each of the rainfall sensors receives a request for collecting the same rainfall information in time series, it is possible to suppress the increase in the amount of communication on the network by discarding the latter request.

The present invention has the following effects.
According to the first and second aspects of the invention, the monitoring camera that detects the event (change in the status of the monitoring target) detects the event (change in the status of the monitoring target) with respect to an adjacent monitoring camera via the network. The location information of the monitored camera and the video collection range necessary for traffic jam recognition processing are transmitted and the video collection is requested, and all the video collected from the video collection range necessary for traffic jam recognition processing is analyzed to generate traffic jams. When it is recognized, it is possible to construct a situation recognition monitoring system that recognizes the situation such as traffic jams on the road without providing a central management server for managing the entire system by notifying the client of the occurrence information of the traffic jam. In addition, since a central management server that manages the entire system is not required, even if a malfunction occurs in some of the surveillance cameras, the situation-recognition and monitoring system does not go down and the system is reliable. improves. In addition, even when monitoring cameras are added or deleted due to maintenance or function expansion of the situation awareness monitoring system, there is no need to reconfigure or adjust the central management server, so there is no need for reconfiguration, etc. Therefore, there is no need to temporarily stop the central management server, so that the reliability of the system is improved.

  According to the invention of claim 3, when one surveillance camera receives the same “request for video collection” in time series, the latter “request for video collection” is discarded, It is possible to suppress an increase in the amount of communication on the network.

  According to the inventions of claims 4 and 5, the monitoring camera that detects the event (change in the status of the monitoring target) receives an event (change in the status of the monitoring target) with respect to an adjacent monitoring camera via the network. Sends the setting information of the monitoring camera that detects the traffic and the recognition information collection range necessary for the traffic jam recognition process and requests the collection of the recognition information, and analyzes all the recognition information collected from the recognition information collection range necessary for the traffic jam recognition process When the occurrence of traffic congestion is recognized, the situation recognition monitoring system recognizes the traffic congestion situation without providing a central management server that manages the entire system by notifying the client of the traffic congestion occurrence information. Construction becomes possible. In addition, since a central management server that manages the entire system is not required, even if a malfunction occurs in some of the surveillance cameras, the situation-recognition and monitoring system does not go down and the system is reliable. improves. In addition, even when monitoring cameras are added or deleted due to maintenance or function expansion of the situation awareness monitoring system, there is no need to reconfigure or adjust the central management server, so there is no need for reconfiguration, etc. Therefore, there is no need to temporarily stop the central management server, so that the reliability of the system is improved.

  According to the invention of claim 6, when one surveillance camera receives the same "request for collecting recognition information" in time series, the latter "request for collecting recognition information" is discarded. As a result, an increase in the amount of communication on the network can be suppressed.

  According to the invention of claim 7 and claim 8, the rainfall sensor that detects the event (change in the status of the monitoring target) receives an event (change in the status of the monitoring target) with respect to an adjacent rainfall sensor via the network. Sends the location information of the rainfall sensor that detected the rain and the rain collection range necessary for the rain region recognition processing, and requested the collection of rain information, and analyzes all the rain information collected from the rain collection range necessary for the rain region recognition processing When the rainfall area is recognized, the situation recognition monitoring system for recognizing the situation of the rain area and the like without providing a central management server for managing the entire system by notifying the client of the rainfall area information can be constructed. It becomes possible. In addition, since a central management server that manages the entire system is not required, the reliability of the system can be improved without causing the entire situation recognition monitoring system to go down even if a malfunction such as a failure occurs in some rain sensors. improves. In addition, even if a rain sensor is added or deleted due to maintenance or function expansion of the situation awareness monitoring system, resetting and adjustment of the central management server is not necessary, so there is no need for resetting work. Therefore, there is no need to temporarily stop the central management server, so that the reliability of the system is improved.

  According to the invention of claim 9, when one rain sensor receives the same “request for collecting rain information” in time series, the latter “request for collecting rain information” is discarded. As a result, an increase in the amount of communication on the network can be suppressed.

  Hereinafter, the present invention will be described in detail with reference to the drawings. FIG. 1 is a block diagram showing the configuration of an embodiment of the situation recognition monitoring system according to the present invention. In FIG. 1, 7, 8, 9 and 10 are surveillance cameras that capture the subject of surveillance and transmit images via the network and perform mutual communication between surveillance cameras, and 11 is a remote location. A client such as a computer that receives and displays video captured by each surveillance camera from the network via the network, and 101 is a general-purpose network such as the Internet.

  The surveillance cameras 7, 8, 9 and 10 are connected to the network 101, and the client 11 is also connected to the network 101.

  Here, the operation of the embodiment shown in FIG. 1 will be described with reference to FIGS. 2, 3, 4, 5, 6, 7, 8, 9 and 10. 2 and 5 are flowcharts for explaining the operation of each monitoring camera, FIG. 3 is an explanatory diagram for explaining the recognition of the status change of the monitoring target, and FIG. 4, FIG. 6, FIG. 7, FIG. FIG. 10 is an explanatory diagram illustrating an example of a display screen of the client 11.

  In “S201” in FIG. 2, for example, the monitoring camera 8 captures a monitoring target video, and in “S202” in FIG. 2, the monitoring camera determines whether the status of the monitoring target has changed. If it is determined in “S202” in FIG. 2 that the status of the monitoring target has not changed, the process returns to the step “S201” in FIG.

  For example, it is assumed that the monitoring camera 8 indicated by “CM51” in FIG. 3 targets the road indicated by “RD51” in FIG. Further, automobiles such as “CR51”, “CR52”, “CR53”, and “CR54” in FIG. 3 are traveling on the road indicated by “RD51” in FIG.

  The monitoring camera 8 indicated by “CM51” in FIG. 3 recognizes a change in the situation of the road to be monitored based on the number of automobiles and the like reflected in the captured video.

  For example, the monitoring camera 8 indicated by “CM51” in FIG. 3 determines that the status of the monitoring target has changed when three or more cars are shown in the captured video. That is, in the explanatory diagram shown in FIG. 3, the monitoring camera 8 indicated by “CM51” in FIG. 3 shows three cars “CR51”, “CR52” and “CR53” in FIG. Judge that the situation has changed.

  If it is determined in “S202” in FIG. 2 that the status of the monitoring target has changed, the monitoring camera 8 in FIG. The position information of the monitoring camera 8 and the video collection range necessary for the traffic jam recognition process are transmitted and the video collection is requested.

  For example, when an event (change in the status of the monitoring target) is detected in the monitoring camera 8 as indicated by “EV61” in FIG. 4, the monitoring camera 8 is indicated by “RQ61” and “RQ62” in FIG. The position information of the monitoring camera 8 and the video collection range necessary for the traffic jam recognition process are transmitted to the adjacent monitoring cameras 7 and 9 via the network 101 and the video collection is requested.

  Then, in “S204” in FIG. 2, the monitoring camera 8 determines whether or not the collection of all the videos from the video collection range necessary for the traffic jam recognition process is completed, and waits until the collection of all the videos is completed. To do.

  On the other hand, in “S301” in FIG. 5, the monitoring cameras 7 and 9 determine whether or not the video collection request from the monitoring camera 8 has been received, and it is determined that the video collection request has not been received. In this case, the process returns to the step “S301” in FIG.

  If it is determined that the video collection request is received at “301” in FIG. 5, the monitoring cameras 7 and 9 are adjacent monitoring cameras via the network 101 in “S302” in FIG. In addition, a video collection request is sent to the monitoring camera existing within the video collection range necessary for the received traffic jam recognition process.

  For example, when the surveillance cameras 7 and 9 are adjacent to the surveillance cameras shown as “CM71” and “CM72” in FIG. 6 and are within the video collection range necessary for the traffic jam recognition processing, respectively. As shown in “RQ73” and “RQ74” in FIG. 6, the monitoring cameras 7 and 9 send a request for video collection to the monitoring cameras as shown in “CM71” and “CM72” in FIG. 6 via the network 101. To do.

  In other words, each surveillance camera collects video, position information, and the like of the surveillance camera existing in the video collection range necessary for the traffic jam recognition process by the bucket relay method.

  Then, in “S303” in FIG. 5, the monitoring cameras 7 and 9 wait until receiving the video, position information, and the like from the monitoring camera that requested the collection of the video. In middle “S304”, the monitoring cameras 7 and 9 transmit their own video and position information together with the acquired video and position information to the request source.

  For example, as shown by “RS81” and “RS82” in FIG. 7, when the monitoring cameras 7 and 9 receive video, position information, and the like from the monitoring cameras indicated by “CM71” and “CM72” in FIG. As shown by “RS83” and “RS84” in FIG. 8, the video and position information of itself are transmitted to the monitoring camera 8 as the request source together with the acquired video and position information.

  Returning to the step “S204” in FIG. 2, when it is determined that the collection of all the images from the image collection range necessary for the traffic jam recognition processing is completed, the monitoring is performed in “S205” in FIG. The camera 8 analyzes all the images collected from the image collection range necessary for the traffic jam recognition process, and determines whether or not the traffic camera 8 has recognized the occurrence of the traffic jam in “S206” in FIG. If it is determined that the occurrence of the traffic jam has not been recognized, the process returns to the step “S201” in FIG.

  If it is determined that the occurrence of a traffic jam is recognized in “S206” in FIG. 2, the monitoring camera 8 notifies the client 11 of the traffic jam occurrence information in “S207” in FIG.

  For example, the monitoring camera 8 transmits traffic jam occurrence information to the client 11 via the network 101 as indicated by “SI91” in FIG.

  Finally, the client 11 displays the traffic jam occurrence information received from the monitoring camera 8 via the network 101 on the display means.

  For example, window screens such as “WD101”, “WD102”, and “WD103” in FIG. 10 are displayed on the display screen of the client 11 shown in “DS101” in FIG. Assume that the current road situation taken at 7-9 is displayed in real time.

  When traffic jam occurrence information is received from the monitoring camera 8 in such a situation, the client 11 displays “ID101” in FIG. 10 on the window screen corresponding to the monitoring camera 8 that has detected the event (change in the monitoring target situation). By performing the display as shown, the user who operates the client 11 is informed of the occurrence of the traffic jam.

  As a result, the monitoring camera that detects the event (change in the status of the monitoring target) detects the position information and traffic jam of the monitoring camera that detects the event (change in the status of the monitoring target) with respect to the adjacent monitoring camera via the network 101. When the video collection range necessary for the process is transmitted and the collection of the video is requested, and all the videos collected from the video collection range necessary for the traffic jam recognition process are analyzed and the occurrence of the traffic jam is recognized, the client 11 is notified. By notifying the occurrence information of traffic jams, it is possible to construct a situation recognition monitoring system that recognizes the status of traffic jams and the like without providing a central management server for managing the entire system.

  In addition, since a central management server that manages the entire system is not required, even if a malfunction occurs in some of the surveillance cameras, the situation-recognition and monitoring system does not go down and the system is reliable. improves.

  In addition, even when monitoring cameras are added or deleted due to maintenance or function expansion of the situation awareness monitoring system, there is no need to reconfigure or adjust the central management server, so there is no need for reconfiguration, etc. Therefore, there is no need to temporarily stop the central management server, so that the reliability of the system is improved.

  In the description of the embodiment shown in FIG. 1, each monitoring camera collects video and position information of the monitoring camera existing in the video collection range necessary for the traffic jam recognition processing by the bucket relay method. When one surveillance camera receives the same “video collection request” in time series so that the “video collection request” loops between surveillance cameras and the network traffic does not increase. May discard the latter “request for video collection” received later. As a result, an increase in the amount of communication on the network can be suppressed.

  Further, in the embodiment shown in FIG. 1, each monitoring camera collects video and position information of the monitoring camera existing in the video collection range necessary for the traffic jam recognition processing by the bucket relay method. When the monitoring camera that detects (change in the status of the monitoring target) collects all the images and position information of the video collection range necessary for the traffic jam recognition processing and performs the recognition processing, As the load increases, the amount of communication on the network also increases.

  For this reason, recognition information such as “the speed of the car is fast”, “the speed of the car is slow”, or “the presence or absence of a stopped vehicle” is recognized based on the image processing result of the video taken by each surveillance camera. It may also be possible to recognize the status of the monitoring target by having the setting information of the camera such as information and performing mutual communication of the recognition information and the setting information between the monitoring cameras.

  That is, in FIG. 2 and FIG. 5, explanation can be made by replacing “video” as “recognition information” and “position” as “setting information”.

  In “S201” in FIG. 2, for example, the monitoring camera 8 captures a monitoring target video, and in “S202” in FIG. 2, the monitoring camera determines whether the status of the monitoring target has changed. If it is determined in “S202” in FIG. 2 that the status of the monitoring target has not changed, the process returns to the step “S201” in FIG.

  For example, it is assumed that the monitoring camera 8 indicated by “CM51” in FIG. 3 targets the road indicated by “RD51” in FIG. Further, automobiles such as “CR51”, “CR52”, “CR53”, and “CR54” in FIG. 3 are traveling on the road indicated by “RD51” in FIG.

  The monitoring camera 8 indicated by “CM51” in FIG. 3 recognizes a change in the situation of the road to be monitored based on the number of automobiles and the like reflected in the captured video.

  For example, the monitoring camera 8 indicated by “CM51” in FIG. 3 determines that the status of the monitoring target has changed when three or more cars are shown in the captured video. That is, in the explanatory diagram shown in FIG. 3, the monitoring camera 8 indicated by “CM51” in FIG. 3 shows three cars “CR51”, “CR52” and “CR53” in FIG. Judge that the situation has changed.

  If it is determined in “S202” in FIG. 2 that the status of the monitoring target has changed, the monitoring camera 8 in FIG. The recognition information collection range is transmitted to the setting information of the monitoring camera 8 and the traffic jam recognition process, and the collection of the recognition information is requested.

  For example, when an event (change in the status of the monitoring target) is detected in the monitoring camera 8 as indicated by “EV61” in FIG. 4, the monitoring camera 8 is indicated by “RQ61” and “RQ62” in FIG. The setting information of the monitoring camera 8 and the recognition information collection range necessary for the traffic jam recognition processing are transmitted to the adjacent monitoring cameras 7 and 9 via the network 101 and the collection of the recognition information is requested.

  Then, in “S204” in FIG. 2, the monitoring camera 8 determines whether or not the collection of all the recognition information from the recognition information collection range necessary for the traffic jam recognition processing is completed, and completes the collection of all the recognition information. Wait until

  On the other hand, in “S301” in FIG. 5, the monitoring cameras 7 and 9 determine whether or not a request for collecting recognition information from the monitoring camera 8 has been received, and if a request for collecting recognition information has not been received. If it is determined, the process returns to the step “S301” in FIG.

  If it is determined that the request for collecting the recognition information is received at “301” in FIG. 5, the monitoring cameras 7 and 9 are adjacent monitoring cameras via the network 101 in “S302” in FIG. In addition, a request is made to collect recognition information to a monitoring camera existing within the recognition information collection range necessary for the received traffic jam recognition processing.

  For example, when the monitoring cameras 7 and 9 are adjacent to the monitoring cameras indicated by “CM71” and “CM72” in FIG. 6 and are within the recognition information collection range necessary for the traffic jam recognition processing, respectively. As shown in “RQ73” and “RQ74” in FIG. 6, the monitoring cameras 7 and 9 collect recognition information via the network 101 for the monitoring cameras shown in “CM71” and “CM72” in FIG. Make a request.

  In other words, each monitoring camera collects the recognition information, setting information, and the like of the monitoring camera existing in the recognition information collection range necessary for the traffic jam recognition process by the bucket relay method.

  Then, in “S303” in FIG. 5, the monitoring cameras 7 and 9 wait until receiving the recognition information, the setting information, and the like from the monitoring camera that requested the collection of the recognition information, and when the recognition information, the setting information, etc. are received. In “S304” in FIG. 5, the monitoring cameras 7 and 9 transmit their recognition information and setting information together with the acquired recognition information and setting information to the request source.

  For example, as indicated by “RS81” and “RS82” in FIG. 7, the monitoring cameras 7 and 9 receive recognition information, setting information, and the like from the monitoring cameras indicated by “CM71” and “CM72” in FIG. 7. 8 transmits its recognition information and setting information together with the acquired recognition information and setting information to the monitoring camera 8 that is the request source as indicated by “RS83” and “RS84” in FIG.

  Returning to the step “S204” in FIG. 2, when it is determined that the collection of all the recognition information from the recognition information collection range necessary for the traffic jam recognition processing is completed, “S205” in FIG. In FIG. 2, the monitoring camera 8 analyzes all the recognition information collected from the recognition information collection range necessary for the traffic jam recognition process, and in “S206” in FIG. 2, the monitoring camera 8 determines whether or not the traffic jam has been recognized. If it is determined that the occurrence of the traffic jam has not been recognized, the process returns to the step “S201” in FIG.

  If it is determined that the occurrence of a traffic jam is recognized in “S206” in FIG. 2, the monitoring camera 8 notifies the client 11 of the traffic jam occurrence information in “S207” in FIG.

  For example, the monitoring camera 8 transmits traffic jam occurrence information to the client 11 via the network 101 as indicated by “SI91” in FIG.

  Finally, the client 11 displays the traffic jam occurrence information received from the monitoring camera 8 via the network 101 on the display means.

  For example, window screens such as “WD101”, “WD102”, and “WD103” in FIG. 10 are displayed on the display screen of the client 11 shown in “DS101” in FIG. Assume that the current road situation taken at 7-9 is displayed in real time.

  When traffic jam occurrence information is received from the monitoring camera 8 in such a situation, the client 11 displays “ID101” in FIG. 10 on the window screen corresponding to the monitoring camera 8 that has detected the event (change in the monitoring target situation). By performing the display as shown, the user who operates the client 11 is informed of the occurrence of the traffic jam.

  As a result, the monitoring camera that has detected the event (change in the status of the monitoring target) detects the setting information and traffic jam recognition of the monitoring camera that has detected the event (change in the status of the monitoring target) with respect to the adjacent monitoring camera via the network 101. When sending the recognition information collection range necessary for processing and requesting collection of recognition information, analyzing all the recognition information collected from the recognition information collection range necessary for traffic jam recognition processing and recognizing the occurrence of traffic jam, By notifying the client 11 of the occurrence information of the traffic jam, it is possible to construct a situation recognition monitoring system that recognizes the status of the traffic jam or the like without providing a central management server for managing the entire system.

  In addition, the embodiment shown in FIG. 1 illustrates a situation recognition monitoring system that recognizes a situation such as a traffic jam on the road. However, a situation recognition monitoring system that recognizes the situation in a rainy area by linking a plurality of rainfall sensors to each other. Of course, it may be applied to.

  FIG. 11 is a structural plan view showing another embodiment of such a situation recognition monitoring system according to the present invention. In FIG. 11, 12, 13, 14, 15, 16, 17, and 18 measure the amount of rainfall to be monitored, send rainfall information via the network, and communicate with each other between rainfall sensors to determine the situation of the rainfall region, etc. It is a rain sensor that performs recognition. However, in FIG. 11, the connection relationship between the rainfall sensors 12 to 18 and the network or client is the same as that of the embodiment shown in FIG.

  In the rainfall collection area indicated by “CA111” in FIG. 11, rainfall sensors 12, 13, 14, 15, 16, 17 and 18 are distributed and arranged, and each of the rainfall sensors 12 to 18 is a network (not shown). Via a computer, a client (not shown) such as a computer that receives and displays rainfall information measured by each rainfall sensor from a remote location or the like is connected.

  Here, the operation of another embodiment shown in FIG. 11 will be described with reference to FIGS. FIG. 12 is a flowchart for explaining the operation of each rainfall sensor, and FIG. 13 is an explanatory diagram for explaining an example of a display screen of a client (not shown).

  In “S401” in FIG. 12, for example, the rainfall sensor 12 acquires the rainfall information of the monitoring target. In “S402” in FIG. 12, the rain sensor 12 determines whether the status of the monitoring target has changed (measuring rainfall). Determine whether. If it is determined in S402 in FIG. 12 that there is no change (rainfall measurement) in the status of the monitoring target, the process returns to the step “S401” in FIG.

  If it is determined in “S402” in FIG. 12 that the status of the monitoring target has changed (measuring rainfall), the rain sensor 12 in “S403” in FIG. 12 is connected via a network (not shown). The position information of the rainfall sensor 12 and the rain collection range necessary for the rainfall area recognition process are transmitted to the adjacent rain sensors 13 to 18 and the collection of the rain information is requested.

  Then, in “S404” in FIG. 12, the rainfall sensor 12 determines whether or not the collection of all the rainfall information from the rainfall collection range necessary for the rainfall area recognition processing is completed, and completes the collection of all the rainfall information. Wait until

  When it is determined in “S404” in FIG. 12 that the collection of all rainfall information from the rainfall collection range necessary for the rainfall area recognition processing has been completed, the rainfall sensor 12 recognizes the rainfall area in “S405” in FIG. In addition to analyzing all the rainfall information collected from the rainfall collection range necessary for the processing, the rain sensor 12 determines whether or not the rain area has been recognized in “S406” in FIG. 12, and recognizes the rain area. If it is determined that there is not, the process returns to the “S401” step in FIG.

  If it is determined that the rain region has been recognized in “S406” in FIG. 12, the rain sensor 12 notifies the client (not shown) of the rain region in “S407” in FIG. .

  For example, when the rainfall sensors 12, 13, and 14 measure the rainfall (other rainfall sensors do not measure the rainfall), the rainfall sensor 12 indicates the area indicated by “RA111” in FIG. And notify the client (not shown) of the rainfall area information.

  Finally, the client (not shown) displays the rainfall area information received from the rainfall sensor 12 via the network on the display means.

  For example, window screens such as “WD121”, “WD122”, and “WD123” in FIG. 13 are displayed on the display screen of the client (not shown) indicated by “DS121” in FIG. Assume that a situation such as current rainfall information measured by each of the rainfall sensors 12 to 18 is displayed in real time.

  When the rainfall area information is received from the rainfall sensor 12 in such a situation, the client (not shown) displays FIG. 13 on the window screen corresponding to the rainfall sensor 12 that has detected the event (change in the monitoring target situation). By performing the display as shown in the middle “ID 121”, the user who operates the client (not shown) is informed of the rainfall area information.

  As a result, the rainfall sensor that detects the event (change in the status of the monitoring target) detects the location information of the rainfall sensor that detected the event (change in the status of the monitoring target) and the rain region recognition from the adjacent rainfall sensor via the network. Send the rainfall collection range necessary for processing and request the collection of rainfall information, analyze all the rainfall information collected from the rainfall collection range necessary for rainfall area recognition processing, and recognize the rainfall area to the client By notifying the rainfall area information, it is possible to construct a situation recognition monitoring system for recognizing the situation of the rain area without providing a central management server for managing the entire system.

  In addition, since a central management server that manages the entire system is not required, the reliability of the system can be improved without causing the entire situation recognition monitoring system to go down even if a malfunction such as a failure occurs in some rain sensors. improves.

  In addition, even if a rain sensor is added or deleted due to maintenance or function expansion of the situation awareness monitoring system, resetting and adjustment of the central management server is not necessary, so there is no need for resetting work. Therefore, there is no need to temporarily stop the central management server, so that the reliability of the system is improved.

  Each rainfall sensor collects rainfall information, position information, and the like of the rainfall sensor existing in the rainfall collection range necessary for the rainfall area recognition processing by the bucket relay method, as in the flowchart shown in FIG.

  In addition, one rain sensor has the same “request for collecting rain information” in time series so that a “request for collecting rain information” loops between each rain sensor and the amount of communication on the network does not increase. The latter “request for collecting rainfall information” received later may be discarded. As a result, an increase in the amount of communication on the network can be suppressed.

1 is a configuration block diagram showing an embodiment of a situation recognition monitoring system according to the present invention. It is a flowchart explaining operation | movement of each surveillance camera. It is explanatory drawing explaining the recognition of the status change of a monitoring object. It is explanatory drawing explaining the transmission condition of information. It is a flowchart explaining operation | movement of each surveillance camera. It is explanatory drawing explaining the transmission condition of information. It is explanatory drawing explaining the transmission condition of information. It is explanatory drawing explaining the transmission condition of information. It is explanatory drawing explaining the transmission condition of information. It is explanatory drawing explaining an example of the display screen of a client. It is a structure top view which shows the other Example of the situation recognition monitoring system which concerns on this invention. It is a flowchart explaining operation | movement of each rainfall sensor. It is explanatory drawing explaining an example of the display screen of a client. It is a configuration block diagram showing an example of a conventional situation recognition monitoring system. It is a flowchart explaining operation | movement of a surveillance camera. It is explanatory drawing explaining the recognition of the status change of a monitoring object. It is explanatory drawing explaining the transmission condition of information. It is a flowchart explaining operation | movement of a central management server. It is explanatory drawing explaining the transmission condition of information. It is explanatory drawing explaining the transmission condition of information. It is explanatory drawing explaining an example of the display screen of a client.

Explanation of symbols

1, 2, 3, 4, 7, 8, 9, 10 Monitoring camera 5 Central management server 6, 11 Client 12, 13, 14, 15, 16, 17, 18 Rain sensor 100, 101 Network

Claims (9)

In the situation recognition monitoring system that recognizes the situation based on the information obtained by the detection means,
A plurality of surveillance cameras as the detection means for photographing a monitoring target and transmitting a video via a network and performing mutual communication between the surveillance cameras;
A client for receiving and displaying video captured by each of these surveillance cameras via the network;
The monitoring camera that has detected the change in the status of the monitoring target has the position information of the monitoring camera that has detected the change in the status of the monitoring target with respect to the adjacent monitoring camera via the network and the video collection range necessary for the traffic jam recognition process. When sending and requesting video collection, analyzing all the video collected from the video collection range necessary for traffic jam recognition processing and recognizing the occurrence of traffic jam, notifying the client of traffic jam occurrence information A situation awareness monitoring system. The monitoring camera that has detected a change in the status of the monitoring target, or the monitoring camera that has received a video collection request from an adjacent monitoring camera,
A request is made to collect video to a monitoring camera that is adjacent via the network and that is within the video collection range necessary for the received traffic jam recognition processing,
Wait until you receive video and location information from the surveillance camera that requested the video collection,
When the video and position information are received, the video and position information acquired together with the video and position information are transmitted to the monitoring camera that has detected a change in the status of the monitoring target that is the request source or an adjacent monitoring camera. The situation recognition monitoring system according to claim 1. The situation recognition monitoring system according to claim 1 or 2, wherein when each of the monitoring cameras receives a request for collecting the same video in time series, the latter request is discarded. In the situation recognition monitoring system that recognizes the situation based on the information obtained by the detection means,
A plurality of surveillance cameras which are the detection means for sensing the object to be monitored and transmitting the image via the network and having recognition information recognized based on the image processing result of the image photographed by itself and performing mutual communication between the surveillance cameras When,
A client for receiving and displaying video captured by each of these surveillance cameras via the network;
The monitoring camera that has detected a change in the status of the monitoring target detects the change in the status of the monitoring target with respect to an adjacent monitoring camera via the network and collects the recognition information necessary for the traffic jam recognition process When the range is sent and the collection of recognition information is requested, and all the pieces of recognition information collected from the recognition information collection range necessary for the traffic jam recognition process is analyzed and the occurrence of the traffic jam is recognized, the traffic jam occurs to the client. A situation awareness monitoring system characterized by notifying information. The monitoring camera that has detected a change in the status of the monitoring target, or the monitoring camera that has received a request for collecting the recognition information from an adjacent monitoring camera,
A request is made to collect recognition information to a monitoring camera that is adjacent via the network and that is within the recognition information collection range necessary for the received traffic jam recognition processing,
Wait until it receives recognition information and setting information from the surveillance camera that requested collection of recognition information,
The monitoring camera that has detected a change in the status of the monitoring target that has requested the recognition information and setting information of the receiver together with the recognition information and setting information acquired when the recognition information and setting information are received, or an adjacent monitoring camera The situation recognition monitoring system according to claim 4, wherein: 6. The situation recognition monitoring system according to claim 4 or 5, wherein when each of the monitoring cameras receives a request for collecting the same recognition information in time series, the latter request is discarded. In the situation recognition monitoring system that recognizes the situation based on the information obtained by the detection means,
A plurality of rainfall sensors as the detection means for measuring rainfall to be monitored and transmitting rainfall information via the network and performing mutual communication between the rainfall sensors;
A client that receives and displays the rainfall information measured by each of these rainfall sensors via the network, and
The rain sensor that has detected a change in the status of the monitoring target detects the change in the status of the monitoring target that has detected a change in the status of the monitoring target with respect to an adjacent rainfall sensor via the network, and the rain collection necessary for the rainfall area recognition process Sending the range and requesting the collection of rainfall information, analyzing all the rainfall information collected from the rainfall collection range necessary for the rain region recognition processing and recognizing the rain region, the rain region information to the client The situation recognition monitoring system characterized by notifying. The rain sensor that has detected a change in the status of the monitoring target, or the rain sensor that has received a request for collecting rain information from an adjacent rain sensor,
A request for collecting rainfall information to a rain sensor that is adjacent to the rain sensor via the network and that is within the rain collection range necessary for the received rain area recognition process,
Wait until you receive rainfall information and location information from the rain sensor that requested the collection of rainfall information,
The rain sensor or the adjacent rain sensor that detects a change in the status of the monitoring target that requested the rain information and the position information of its own together with the rain information and the position information acquired when the rain information or the position information is received. The situation recognition monitoring system according to claim 7, wherein: 9. The situation recognition monitoring system according to claim 7 or 8, wherein when each of the rainfall sensors receives a request for collecting the same rainfall information in time series, the latter request is discarded.

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