JP6603151B2 - Person traffic management system and person traffic management method - Google Patents

Description

  The present invention relates to a person traffic management system and a person traffic management method.

  2. Description of the Related Art Conventionally, techniques such as human sensors and video tracking are known as techniques for detecting the presence of a person passing through a specific area indoors such as an office or research facility that handles confidential matters or outdoors such as an event venue.

  In addition, it is known to use an entrance / exit gate, an RFID (Radio Frequency IDentifier) tag, or a sensor of a mobile terminal as a technique for detecting the presence of a person passing through a specific area and an ID for identifying the person. For example, if an entrance / exit gate is installed at the entrance / exit of a specific area, insiders can pass the gate with an IC card, etc., and outsiders cannot pass the gate without an IC card, It is not detected when an outsider passes due to sharing.

  In addition, for example, when an RFID antenna is installed in a detection area to detect an RFID tag, an insider has an RFID tag and can detect traffic, but an outsider does not have an RFID tag. Unable to detect traffic.

  For example, when using a sensor of a mobile terminal, PDR (Pedestrian Dead-Reckoning), Wi-Fi (Wireless Fidelity), BLE (Bluetooth (registered trademark) Low Energy) beacon, etc. that can be received in the detection area Traffic can be detected by collecting signals as records received by insider mobile terminals, but outsiders cannot detect traffic because they do not have mobile terminals with information collection functions.

  In addition, there is known a technique for detecting and warning about the accompanying of a non-permitted person accompanied by a person permitted to enter the room by combining an entrance / exit gate and a monitoring camera. For example, when sharing is detected based on the video taken by the surveillance camera, control is performed to deny the unlocking of the entrance / exit gate, and after unlocking the entrance / exit gate, the number of people passing the entrance / exit gate is measured. Then, when a companion is detected, an alarm warning is issued (see, for example, Patent Document 1).

JP 2007-122481 A

  However, with the conventional technology, it has been difficult to accurately and easily detect the traffic of outsiders in a specific area such as an office space where traffic is frequent. For example, in the above-described technology for detecting outsiders accompanying an entrance / exit gate, accompanying people are detected based on the video taken by the surveillance camera and the number of people passing through the entrance / exit gate. It is considered that two persons can be identified as one person due to the short distance or the difference in height, and it is difficult to accurately detect the outsider's traffic. In some cases, it could not be detected. Moreover, since it is premised on a high-function entrance / exit gate, the cost is high, and it has not been possible to easily detect the traffic of outsiders.

  In order to solve the above-described problems and achieve the object, the human traffic management system of the present invention includes an extraction unit that extracts a continuous traffic record of a person in the specific area from a video in which the specific area is captured, From the terminal possessed by the insider in the specific area, the acquisition unit for acquiring the reception history of the beacon received by the terminal, the traffic record extracted by the extraction unit and the reception history acquired by the acquisition unit, And a specific part that identifies outsiders in the specific area.

  Further, the human traffic management method of the present invention is a human traffic management method executed in the human traffic management system, and extracts continuous traffic records of a person in the specific area from a video image of the specific area. An acquisition step of acquiring a reception history of a beacon received by the terminal from a terminal possessed by an insider in the specific area, a traffic record extracted by the extraction step, and a reception history acquired by the acquisition step And a specific step of identifying outsiders in the specific area.

  According to the present invention, it is possible to accurately and easily detect the passage of an outsider.

FIG. 1 is a schematic configuration diagram showing the overall configuration of the person traffic management system according to the first embodiment. FIG. 2 is a block diagram showing the configuration of the person traffic management device according to the first embodiment. FIG. 3 is a diagram illustrating a configuration example of a beacon log generated from beacon data. FIG. 4 is a diagram illustrating a configuration example of a tracking log generated from data of continuously shot video. FIG. 5 is a diagram illustrating a configuration example of an outsider passage event. FIG. 6 is a block diagram showing the configuration of the mobile terminal according to the first embodiment. FIG. 7 is a flowchart showing a flow of detection processing by the human traffic management device according to the first embodiment. FIG. 8 is a flowchart showing a flow of detection processing by the human traffic management device according to the first embodiment. FIG. 9 is a flowchart showing the flow of attribute information input processing by the display device according to the first embodiment. FIG. 10 is a diagram illustrating a screen example when inputting attribute information. FIG. 11 is a diagram illustrating a display example of an analysis / aggregation result of an outsider traffic event. FIG. 12 is a diagram illustrating a display example of the result of analysis / aggregation of outsider traffic events. FIG. 13 is a diagram illustrating a display example of an analysis / aggregation result of an outsider traffic event. FIG. 14 is a diagram illustrating a computer that executes a person traffic management program.

  Hereinafter, embodiments of a person traffic management system and a person traffic management method according to the present application will be described in detail with reference to the drawings. It should be noted that this embodiment does not limit the person traffic management system and the person traffic management method according to the present application.

[First embodiment]
In the following embodiment, the configuration of the person traffic management system according to the first embodiment, the configuration of the person traffic management device and the mobile terminal, the processing flow of each device will be described in order, and finally the first embodiment will be described. The effect by form is demonstrated.

[Configuration of Person Traffic Management System According to First Embodiment]
First, the person traffic management system according to the first embodiment will be described with reference to FIG. FIG. 1 is a schematic configuration diagram showing the overall configuration of the person traffic management system according to the first embodiment. In addition, the same number is attached | subjected to the component which has the same function in drawing, and duplication description is abbreviate | omitted.

  As a preliminary preparation for the operation of this system, a specific area of the person's movement space is defined as the detection area 10 in advance, and the beacon 300 is installed in a position where the movement of the person can be detected in the detection area 10. The insider 11 possesses the mobile terminal 200. The outsider 12 does not have a mobile terminal. In addition, the network camera 400 is installed so as to photograph the insider 11 and outsider 12 who pass through the detection area 10.

  The person traffic management apparatus 100, the mobile terminal 200, the network camera 400, and the display terminal 500 are connected to the network 1. The network 1 is configured so that the person traffic management device 100, the mobile terminal 200, the network camera 400, and the display terminal 500 can communicate with each other. The network 1 can be configured by, for example, the Internet, a LAN (Local Area Network), a wireless LAN, a WAN (Wide Area Network), or the like.

  The person traffic management device 100 receives the signal of the beacon 300 received by the mobile terminal 200 from the mobile terminal 200, and obtains a beacon log including the identifier, beacon number, and radio wave intensity of the mobile terminal 200. In addition, continuous video captured by the network camera 400 is received via the network 1, a continuous traffic record of a person is extracted from the video recording, and this is recorded as a tracking log.

  The beacon log and the tracking log are collated, and as a collation result, whether the passerby is the insider 11 or the outsider 12 is detected, and the tracking log of the outsider 12 and the passing policy of the outsider 12 are collated. The traffic of the outsider 12 who violates the traffic policy is recorded as an outsider traffic event. Here, the traffic policy is, for example, information indicating an area of a prohibited place such as an office or a research facility that handles confidential matters. In other words, when the coordinates of the outsider person's position from the tracking log of the outsider 12 are within the area defined in the traffic policy, it is determined that the traffic policy violates the traffic policy. Note that the traffic policy is not limited to a place where entry is prohibited, and a time zone during which entry is prohibited and attribute information of a person who is prohibited from entering may be defined.

  When recording an outsider passing event, a video record that is the basis of the outsider passing event is recorded. The video recording is a video of several minutes before and after the time of the event that became the basis when the outsider traffic event was detected. Thereby, the guider (used in the same meaning as the insider 11 in the following) can display the outsider passing event and the video recording so that it can be visually confirmed later.

  Also, attribute information including any or all of the place where the outsider passage event occurs, the date and time of occurrence, the outsider person attribute, the guide person attribute, the cause, and the influence range is automatically or manually recorded. The outsider person attribute includes the name and affiliation of the outsider 12. The guide person attribute includes the name and affiliation of the guide. Further, in response to a display request from the display terminal 500, an outsider passing event, video recording, and attribute information are transmitted to the display terminal 500 as a display response.

  The mobile terminal 200 receives a BLE (Bluetooth Low Energy) signal transmitted by the beacon 300 and transmits the received signal as a beacon log to the person traffic management device 100 via the network 1.

  The beacon 300 is a radio wave transmission device that transmits a BLE signal, and is installed in a detection area. The beacon 300 can be replaced by PDS (Pedestrian Dead-Reckoning) or Wi-Fi (Wireless Fidelity).

  The network camera 400 continuously captures a person passing through the detection area, for example, at a rate of 15 frames per second. Furthermore, the network camera 400 transmits the continuously shot video to the person traffic management apparatus 100 via the network 1, or the person traffic management apparatus 100 captures the continuously shot video of the network camera 400. The network camera 400 may be any camera as long as it has an IP communication function and a function capable of setting image quality and resolution sufficient to detect a person. Note that a plurality of mobile terminals 200, beacons 300, and network cameras 400 may exist.

  The display terminal 500 is a terminal used by a facility manager or the like to grasp policy violation behavior related to outsider traffic, and receives an input from the facility manager or the like, and transmits a display request to the person traffic management device 100. The display response is received from the person traffic management apparatus 100 and displayed.

[Configuration of person traffic management device]
Next, the configuration of the person traffic management apparatus 100 shown in FIG. 1 will be described with reference to FIG. FIG. 2 is a block diagram showing the configuration of the person traffic management device according to the first embodiment. As shown in FIG. 2, the person traffic management device 100 includes an outsider traffic event analysis unit 101, a transmission / reception unit 102, a control unit 103, and an outsider traffic event storage unit 104.

  The outsider passage event analysis unit 101 includes an extraction unit 101a, an acquisition unit 101b, a specification unit 101c, a determination unit 101d, a recording unit 101e, and a display control unit 101f.

  The extraction unit 101a extracts a continuous traffic record of a person in the detection area 10 from a video in which the detection area 10 is captured. Specifically, the extraction unit 101a extracts a continuous traffic record of a person from the data of continuously shot video received by the transmission / reception unit 102 and records it as a tracking log.

  The acquisition unit 101b acquires a reception history of the beacon 300 received by the mobile terminal 200 from a terminal held by an insider in the detection area 10.

  The identification unit 101c collates the traffic record extracted by the extraction unit 101a with the reception history acquired by the acquisition unit 101b, and specifies the outsider 12 in the detection area 10. Specifically, the identification unit 101c obtains the beacon log received by the transmission / reception unit 102 for identifying whether the person is an outsider 12 or the insider 11, and collates the beacon log and the tracking log at a specific time. To detect.

  For example, the identifying unit 101c acquires a value indicating the strength of the radio wave when the mobile terminal 200 receives the signal of the beacon 300 from the beacon log (see FIG. 3 to be described later), and determines the strength of the radio wave. The coordinates of the position in the detection area 10 of the mobile terminal 200 are specified from the indicated value. Further, the specifying unit 101c acquires the coordinates of the person position from the tracking log (see FIG. 4 described later). Then, the identifying unit 101c collates the coordinates of the mobile terminal 200 with the coordinates of the person position, identifies the person position coordinates that match the coordinates of the mobile terminal 200 as the insider 11, and the mobile terminal Those that do not match the coordinates of 200 are identified as outsiders 12.

  The determination unit 101d determines whether the traffic record of the outsider 12 specified by the specifying unit 101c violates a preset traffic policy. The tracking log of the outsider 12 and the traffic policy of the outsider 12 are collated, and the traffic of the outsider 12 in conflict with the traffic policy is detected as an “outsider traffic event”. When an outsider passing event is detected, a video record that becomes the basis of the outsider passing event is generated and recorded in the outsider passing event storage unit 104. The video recording is a video of several minutes before and after the time of the event that became the basis when the outsider traffic event was detected. Thereby, the guider can display the outsider passing event and the video recording so that the visual confirmation can be made later.

  When the determination unit 101d determines that the outsider's traffic record violates the traffic policy, the recording unit 101e records attribute information regarding the outsider's traffic along with the outsider's video. To do. For example, the recording unit 101e includes, as attribute information, the location of an outsider passage event that is a place where an outsider has passed, the occurrence date and time of an outsider passage event that is the date and time that the outsider has passed, an outsider An outsider passage event that includes one or more of the following: the person attribute of the person, the person attribute of the guide who guided the outsider, the cause of the outsider's passage, and the scope of influence due to the outsider's passage Record in the storage unit 104.

  The display control unit 101f controls the display terminal 500 to display the aggregation result obtained by aggregating the attribute information recorded for a certain period by the recording unit 101e.

  The transmission / reception unit 102 receives the signal of the beacon 300 received by the mobile terminal 200 and the video captured by the network camera 400. Further, it receives a display request from the display terminal 500 and transmits a display response. Transmission / reception is performed via the network 1.

  The control unit 103 is mutually connected to the outsider passage event analysis unit 101, the transmission / reception unit 102, and the outsider passage event accumulation unit 104, and controls processing.

  Further, in response to a request from the display terminal 500, an outsider passage event, video recording, and attribute information are extracted from the outsider passage event accumulation unit 104, and control is passed to the transmission / reception unit 102.

  The outsider passage event accumulation unit 104 records an outsider passage event detected by the outsider passage event analysis unit 101. Furthermore, the video recording that becomes the basis of the outsider passing event detected by the outsider passing event analyzing unit 101 is recorded. Furthermore, attribute information including any or all of the occurrence location, occurrence date, outsider person attribute, guide person attribute, cause, and influence range of the outsider passing event detected by the outsider passing event analysis unit 101 Record. The outsider passage event accumulation unit 104 can be configured by, for example, a middleware such as a file system or a relational database.

  Here, a configuration example of a beacon log generated from beacon data received from the mobile terminal 200 by the outsider traffic event analysis unit 101 will be described with reference to FIG. As shown in FIG. 3, it is comprised from the item which is arbitrary identification information, time, smart phone ID, beacon number, and field intensity. The beacon number is an identifier of the beacon 300 installed in the detection area. The radio field intensity is a value indicating the radio field intensity when the mobile terminal 200 receives the signal of the beacon 300. In FIG. 3, the smartphone IDs “D1” and “D2” indicate that the beacon numbers and the radio wave strengths detected at the times T1, T2, and T3 are recorded.

  Here, a configuration example of a tracking log generated from data of continuously shot video received from the network camera 400 by the outsider traffic event analysis unit 101 will be described with reference to FIG. It is composed of items that are arbitrary identification information, time, ID of a person existing in a frame of video data (in-frame person ID), x: coordinate, and y: person position expressed by coordinates. The tracking log generation method may be any of a method using a background difference and a method using a difference between frames.

  The table illustrated in (1) of FIG. 4 shows an example in which one person is detected. The person with the person ID “H1” in the frame has the person position (x, y) at times T1, T2, and T3. It shows how it is recorded. The table illustrated in (2) of FIG. 4 shows an example in which two persons are detected, and the persons with the person IDs “H1” and “H2” in the frame are persons at times T1, T2, T3, and T4. It shows how the position (x, y) is recorded.

  FIG. 5 shows that an outsider traffic event analysis unit 101 collates with a tracking log and a beacon log to detect an outsider, collates with a traffic policy of an outsider 12, and conflicts with the traffic policy. It is a structural example of an outsider passage event produced | generated when the passage of the person 12 is detected.

  It consists of items that are arbitrary identification information, log time at the time of collation, and person ID in the frame. FIG. 5 shows a state where the persons with the person IDs “H1” and “H2” in the frame are detected as outsiders 12 at times T1, T2, and T3. As a use of the person ID in the frame, when a facility manager or the like refers to an outsider passing event later, it can be used to confirm the fact by referring to the corresponding video that is the basis of detection. . The outsider passing event may be only the time of the tracking log used for matching with the item which is arbitrary identification information.

[Configuration of mobile terminal]
Next, the configuration of the mobile terminal 200 shown in FIG. 1 will be described with reference to FIG. FIG. 6 is a block diagram showing the configuration of the mobile terminal according to the first embodiment. As shown in FIG.
The mobile terminal 200 includes a sensor unit 201, a transmission unit 202, and a control unit 203.

  The sensor unit 201 is a sensor that receives a BLE signal transmitted by the beacon 300. The transmission unit 202 acquires the BLE signal received by the sensor unit 201 and transmits a beacon log in text format to the person traffic management device 100. The control unit 203 is connected to the sensor unit 201 and the transmission unit 202 and controls processing.

[Example of processing of person traffic management device]
Next, the operation of the outsider passage event analysis unit 101 included in the person passage management device 100 will be described with reference to FIGS. 7 and 8. 7 and 8 are flowcharts showing a flow of detection processing by the human traffic management device according to the first embodiment. In the example of FIG. 7, a case where the insider 11 is detected and an outsider passage event is generated will be described. In the example of FIG. 8, a case where the outsider 12 is detected and an outsider passage event is generated. explain. It is assumed that a specific area of the person's movement space is defined in advance as the detection area 10 in the outsider passage event analysis unit 101.

  As shown in FIG. 7, when a person passes through the detection area 10 (S101), the outsider passage event analysis unit 101 receives continuous shot video from the network camera 400 (S102), and continuously shots. A person is detected from the video data, and a tracking log, which is a movement record of the person, is generated (S103). Furthermore, the outsider passage event analysis unit 101 receives a beacon log from the mobile terminal 200 and obtains a beacon log (S104).

  Next, the outsider passage event analysis unit 101 uses the tracking log and the beacon log at a specific time to collate both, and detects that the person is an insider 11 when there is a corresponding beacon log (S105). .

  Also, as shown in FIG. 8, when a person passes through the detection area 10 (S201), a continuous shot video is received from the network camera 400 (S202), and a person is detected from the continuous shot video data. A tracking log, which is a continuous traffic record of a person, is generated and recorded (S203). Furthermore, the outsider traffic event analysis unit 101 receives a beacon log from the mobile terminal 200 and obtains a beacon log (S204), but there is no specific beacon log at a specific time. Alternatively, there is no beacon log when no beacon data is received from the mobile terminal 200 at a specific time.

  Next, the outsider passage event analysis unit 101 uses the tracking log and the beacon log at a specific time to collate both, and detects that the person is an outsider 12 when there is no corresponding beacon log (S205). ).

  Next, the outsider traffic event analysis unit 101 collides the tracking log of the outsider 12 with the outsider's traffic policy and detects a conflict with the traffic policy. The outsider's traffic to be detected is detected as an outsider traffic event and recorded in the outsider traffic event storage unit 104 (S206).

  The traffic policy is, for example, a traffic that moves from a specific direction to another direction across a specific area in the detection area 10, or a specific line set in the detection area from a specific direction to another direction. It is defined as a traffic that crosses over to move. Further, the outsider passage event analysis unit 101 records the video recording that becomes the basis of the outsider passage event in the outsider passage event accumulation unit 104 (S207).

In addition, attribute information including any or all of the location, date and time of occurrence of outsider traffic events, outsider person attributes, guide person attributes, causes, and scope of influence is linked with other systems. The event analysis unit 101 records in the outsider passage event accumulation unit 104. Or, in response to a request from a facility manager or the like, the outsider passage event analysis unit 101 can determine the location of the outsider passage event, date and time of occurrence, outsider person attribute, guide person attribute, cause, and influence range. The attribute information including any or all of them is recorded in the outsider passage event accumulation unit 104 (S208).
Thereafter, in response to a request from the facility manager or the like, an outsider passing event, video recording, and attribute information can be displayed (S209).

  Thereby, the facility manager or the like can confirm the traffic that has violated the traffic policy, and can grasp the actual state of the policy violation behavior. Furthermore, it is possible to optimize the occurrence of policy violation behavior by a quality control method (PDCA (Plan, Do, Check, Act) cycle).

[Example of display device processing]
Next, with reference to FIG. 9 and FIG. 10, a procedure for the guider to confirm the outsider passing event and the video recording afterwards and to input the attribute information will be described. FIG. 9 is a flowchart showing the flow of attribute information input processing by the display device according to the first embodiment. FIG. 10 is a diagram illustrating a screen example when inputting attribute information.

  The guide uses the display terminal 500 to display a Web screen (see FIG. 10) for displaying an outsider passing event (S301). The URL of the Web screen may be notified to the guide in advance, or may be notified from an outsider passage event management device.

  When an outsider passing event is displayed on the Web screen, the guide refers to the corresponding outsider passing event and video recording (S302). Next, the guide selects whether the event is an outsider passing event corresponding to the attribute information input (S303).

  If it does not correspond to the attribute information input (S303, No), select not applicable from the pull-down menu, press the registration button (S304), and close the screen (S305). When the attribute information is input (S303, Yes), the corresponding guider information is selected from the pull-down menu (S306). The selected guider information is displayed on the screen (S307). After confirming the display contents on the screen, the guideer inputs the cause and the influence range input field, the presence / absence of non-stop check, and presses the registration button ( S308), the screen is closed (S309).

  In the cause and range of influence, freely enter the cause and range of influence of the relevant outsider traffic event. The non-stop check is selected when the outsider 12 is forced to stop. As a result, the guide can confirm the traffic in conflict with the traffic policy, and can grasp the actual state of the policy violation behavior. Moreover, it can be expected that the guide will motivate to suppress future policy violation behavior by confirming and analyzing past behavior (inputting attribute information).

  Next, display examples of results of analysis / aggregation of outsider traffic events will be described with reference to FIGS. FIG. 11 to FIG. 13 are diagrams showing display examples of analysis / aggregation results of outsider traffic events. The example shown in FIGS. 11 to 13 is an example in which the facility manager or the like displays the information using the display terminal 500 in order to grasp the actual state of the policy violation behavior in the case where the guide invites the outsider 12 to the office. is there.

  FIG. 11 shows a display example of frequency sorting based on attribute information (by outsider affiliation) as a result of analysis / aggregation of attribute information of outsider passing events for a certain period. Displays the total number of annual outsider traffic events in descending order, in units of “g-dp1” to “g-dp5” indicating the affiliation (for example, company name) of the outsider 12, , A value obtained by totaling the number of annual outsider traffic events belonging to outsiders 12 other than “g-dp1” to “g-dp5” indicated by “others”. Thereby, the facility manager or the like can grasp the actual state of the policy violation behavior according to the frequency in a certain period.

  FIG. 12 is a display example of a time transition based on attribute information (by outsider affiliation) as a result of analysis / aggregation of attribute information of an outsider passing event for a certain period. A value obtained by counting the number of outsider traffic events by month in units of “g-dp1” to “g-dp3” indicating the affiliation (for example, company name) of the outsider 12 is displayed as a monthly transition. . Thereby, the facility manager or the like can grasp the actual state of the policy violation behavior by the time transition in a certain period.

  FIG. 13 shows an example of displaying a list of outsider traffic events that occurred in November 2015 as the result of analysis and aggregation of attribute information of outsider traffic events for a certain period. Visualize and display the detected outsider traffic event and attribute information related to the outsider traffic event. The attribute information is composed of information including any or all of the occurrence location of the outsider passage event, the occurrence date and time, the outsider person attribute, the guide person attribute, the cause, and the influence range. The video recording is a video of several minutes before and after the time of the event that became the basis when the outsider traffic event was detected. The attribute information may be input in conjunction with data of another system such as an entrance / exit management system prepared in advance, or may be input by a facility manager or the like.

  As a result, the display data is displayed on the display terminal 500, the facility manager can grasp the actual situation of the policy violation behavior, and the occurrence of the policy violation behavior can be optimized by the quality management method (PDCA cycle). become.

[Effect of the first embodiment]
As described above, in the human traffic management system according to the first embodiment, the human traffic management device 100 extracts a continuous traffic record of a person in the detection area 10 from the video in which the detection area 10 is captured. In addition, the person traffic management device 100 acquires the reception history of the beacon 300 received by the mobile terminal 200 from the mobile terminal 200 of the insider 11 in the detection area 10. Then, the person traffic management device 100 collates the extracted traffic record with the acquired reception history, and specifies an outsider 12 in the detection area 10. For this reason, it is possible to detect the passage of the outsider 12 accurately and easily.

  In addition, the person traffic management device 100 determines whether the identified traffic record of the outsider 12 conflicts with a preset traffic policy, and the traffic record of the outsider 12 conflicts with the traffic policy. If it is determined, the attribute information regarding the traffic of the outsider 12 is recorded together with the video of the outsider 12. For this reason, it is possible to realize the policy violation behavior related to outsider traffic at low cost and to visualize the occurrence status of the policy violation behavior. In addition, facility managers can grasp the actual situation of policy violation behavior.

  In addition, the person traffic management device 100 includes, as attribute information, the place where the outsider 12 has passed, the date and time when the outsider 12 has passed, the personal attributes of the outsider 12, and the person who has guided the outsider 12 Any one or more of the attribute, the cause of passage of the outsider 12 and the range of influence due to the passage of the outsider 12 are recorded. As described above, by inputting information manually or automatically such as a place and date / time when the outsider 12 has passed, it is possible to improve accuracy of the policy violation action by the outsider 12 by visual confirmation.

  In addition, the person traffic management device 100 controls the display terminal 500 to display a totaling result obtained by totaling attribute information recorded in a certain period. For this reason, for example, any or all of the attribute information of policy violation behavior, its total information, and its time transition are visualized and displayed according to the authority of the viewer, so that the behavioral quality can be obtained by a quality management method (PDCA cycle). It is possible to improve.

  In other words, conventionally, outsiders pass through the gates opened by insiders when outsiders pass through the gate with outsiders in a normal office environment or event venue. Insiders allow this, and insiders invite outsiders into important areas. In such a case, an insider's policy violation occurred, for example, a nearby insider allowed an outsider to enter an important area. Conventionally, it is assumed that individual policy violation behavior occurs with a considerable frequency. Policy violation behavior was rarely an immediate serious case, or policy violation behavior was unavoidably performed due to the necessity of business, etc., and policy violation behavior was difficult to detect. On the other hand, the causes of serious accidents were often caused by these policy violations. Facility managers, etc. are aware of the above circumstances, but because it is difficult to reliably detect the substance of policy violation behavior at low cost, they are often restrained by alerting all insiders. It was. That is, it has been difficult to keep track of trends and causes of policy violation behavior and to optimize the occurrence of policy violation behavior. In addition, when insiders acted inside the office with outsiders, the insiders who violated the policy were aware of the above circumstances, so the motivation to suppress the policy violating behavior did not work. .

  On the other hand, the person traffic management system according to the first embodiment can realize the policy violation behavior related to outsider traffic at low cost and visualize the occurrence status of the policy violation behavior. The person or the like can grasp the actual situation of the policy violation behavior, and can optimize the occurrence of the policy violation behavior by a quality control method (PDCA cycle).

  Further, accuracy can be improved by visual confirmation. The behavioral quality is improved by a quality management method (PDCA cycle) by visualizing and displaying any or all of the attribute information of the policy violation behavior, the total information thereof, and the time transition thereof according to the authority of the viewer.

(System configuration etc.)
Each component of each illustrated device is functionally conceptual and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution / integration of each device is not limited to that shown in the figure, and all or a part thereof may be functionally or physically distributed or arbitrarily distributed in arbitrary units according to various loads or usage conditions. Can be integrated and configured. Further, all or any part of each processing function performed in each device may be realized by a CPU and a program analyzed and executed by the CPU, or may be realized as hardware by wired logic.

  In addition, among the processes described in this embodiment, all or part of the processes described as being automatically performed can be manually performed, or the processes described as being manually performed All or a part of the above can be automatically performed by a known method. In addition, the processing procedure, control procedure, specific name, and information including various data and parameters shown in the above-described document and drawings can be arbitrarily changed unless otherwise specified.

(program)
It is also possible to create a program in which the processing executed by the person traffic management apparatus 100 according to the above embodiment is described in a language that can be executed by a computer. In this case, the same effect as the above-described embodiment can be obtained by the computer executing the program. Further, such a program may be recorded on a computer-readable recording medium, and the program recorded on the recording medium may be read by the computer and executed to execute the same processing as in the above embodiment. Hereinafter, an example of a computer that executes a person traffic management program that realizes the same functions as those of the person traffic management apparatus 100 and the display terminal 500 will be described.

  FIG. 14 is a diagram illustrating a computer that executes a person traffic management program. As illustrated in FIG. 14, the computer 1000 includes, for example, a memory 1010, a CPU 1020, a hard disk drive interface 1030, a disk drive interface 1040, a serial port interface 1050, a video adapter 1060, and a network interface 1070. These units are connected by a bus 1080.

  The memory 1010 includes a ROM (Read Only Memory) 1011 and a RAM (Random Access Memory) 1012. The ROM 1011 stores a boot program such as BIOS (Basic Input Output System). The hard disk drive interface 1030 is connected to the hard disk drive 1090. The disk drive interface 1040 is connected to the disk drive 1100. For example, a removable storage medium such as a magnetic disk or an optical disk is inserted into the disk drive 1100. For example, a mouse 1110 and a keyboard 1120 are connected to the serial port interface 1050. For example, a display 1130 is connected to the video adapter 1060.

  Here, as shown in FIG. 14, the hard disk drive 1090 stores, for example, an OS 1091, an application program 1092, a program module 1093, and program data 1094. Each table described in the above embodiment is stored in, for example, the hard disk drive 1090 or the memory 1010.

  The person traffic management program is stored in the hard disk drive 1090 as a program module in which a command executed by the computer 1000 is described, for example. Specifically, a program module describing each process executed by the human traffic management device 100 and the display terminal 500 described in the above embodiment is stored in the hard disk drive 1090.

  Further, data used for information processing by the person traffic management program is stored in the hard disk drive 1090 as program data, for example. Then, the CPU 1020 reads out the program module 1093 and the program data 1094 stored in the hard disk drive 1090 to the RAM 1012 as necessary, and executes the above-described procedures.

  Note that the program module 1093 and the program data 1094 related to the person traffic management program are not limited to being stored in the hard disk drive 1090. For example, the program module 1093 and the program data 1094 are stored in a removable storage medium and are stored in the removable storage medium by the CPU 1020 via the disk drive 1100 or the like. It may be read out. Alternatively, the program module 1093 and the program data 1094 related to the person traffic management program are stored in another computer connected via a network such as a LAN (Local Area Network) or a WAN (Wide Area Network), and the network interface 1070 is stored in the computer. Via the CPU 1020.

DESCRIPTION OF SYMBOLS 1 Network 10 Detection area 11 Insider 12 Outsider 100 Person traffic management apparatus 200 Mobile terminal 300 Beacon 400 Network camera 500 Display terminal

Claims (4)

An extraction unit for extracting a continuous traffic record of a person in the specific area from a video in which the specific area is captured;
An acquisition unit that acquires a reception history of a beacon received by the terminal from a terminal possessed by an insider in the specific area;
A specific unit that collates the traffic record extracted by the extraction unit with the reception history acquired by the acquisition unit, and identifies an outsider in the specific area;
A determination unit that determines whether the traffic record of the outsider specified by the specifying unit violates a preset traffic policy;
When it is determined by the determination unit that the outsider's traffic record is in conflict with the traffic policy, the outsider's video and the attribute information regarding the outsider's traffic are used as attribute information regarding the outsider's traffic. A recording unit for recording at least a person attribute of a person and a person attribute of a guide who has guided the outsider;
A person traffic management system comprising: a display control unit configured to control the attribute information recorded by the recording unit to be displayed on a display unit . The recording unit is, as the attribute information, location of the outsiders was passing, date and time that the outsiders were passing, before Symbol cause of outsiders has traffic, and impact of the outsiders was passing 2. The person traffic management system according to claim 1 , wherein the range is further recorded. The display controller, a person traffic management system of claim 1, wherein the benzalkonium controls so as to be displayed on the display unit results aggregations aggregate attribute information recorded in the predetermined period by said recording unit. A human traffic management method executed by a human traffic management system,
An extraction step of extracting a continuous traffic record of a person in the specific area from a video in which the specific area is photographed;
An acquisition step of acquiring a reception history of a beacon received by the terminal from a terminal possessed by an insider in the specific area;
Collating the traffic record extracted by the extraction step with the reception history acquired by the acquisition step, and specifying the outsider in the specific area,
A determination step of determining whether or not the outsider's traffic record identified by the identifying step violates a preset traffic policy;
If it is determined in the determination step that the outsider's traffic record is in conflict with the traffic policy, along with the outsider's video, as the attribute information regarding the outsider's traffic, the outsider A recording step of recording at least a person attribute of the person and a person attribute of the guide who has guided the outsider;
And a display control step of controlling the attribute information recorded in the recording step to be displayed on a display unit .

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