WO2022137884A1 - リスク表示装置、リスク表示方法および非一時的なコンピュータ可読媒体 - Google Patents

リスク表示装置、リスク表示方法および非一時的なコンピュータ可読媒体 Download PDF

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Publication number
WO2022137884A1
WO2022137884A1 PCT/JP2021/041851 JP2021041851W WO2022137884A1 WO 2022137884 A1 WO2022137884 A1 WO 2022137884A1 JP 2021041851 W JP2021041851 W JP 2021041851W WO 2022137884 A1 WO2022137884 A1 WO 2022137884A1
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WIPO (PCT)
Prior art keywords
person
risk
image data
display device
image
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Ceased
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PCT/JP2021/041851
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English (en)
French (fr)
Japanese (ja)
Inventor
曜教 内田
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NEC Corp
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NEC Corp
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Priority to US18/267,148 priority Critical patent/US12512225B2/en
Priority to JP2022571954A priority patent/JP7605227B2/ja
Publication of WO2022137884A1 publication Critical patent/WO2022137884A1/ja
Anticipated expiration legal-status Critical
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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/80—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for detecting, monitoring or modelling epidemics or pandemics, e.g. flu
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/22—Social work or social welfare, e.g. community support activities or counselling services
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/70—Determining position or orientation of objects or cameras
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/761—Proximity, similarity or dissimilarity measures
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/103—Static body considered as a whole, e.g. static pedestrian or occupant recognition
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161—Detection; Localisation; Normalisation
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30196—Human being; Person
    • G06T2207/30201—Face
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/07—Target detection

Definitions

  • the present invention relates to a risk display device, a risk display method, and a non-temporary computer-readable medium.
  • a gaze area indicating an area to be gazed by each of a plurality of subjects who are present in a predetermined area and may belong to a group is specified, and each of the specified gaze areas of the plurality of subjects is designated.
  • Techniques for estimating groups based on are described.
  • Patent Document 2 the strength of the relationship regarding the infection between the rooms is specified based on the information on the infection of the person and the information on the movement between the rooms of the person, and the strength of the relationship regarding the infection between the specified rooms is specified.
  • a technique for displaying information indicating the above on a map is described.
  • Patent Document 3 describes a technique for displaying the range of infection influence in a medical facility based on the movement route of a person obtained from the round information and the infection risk of the person.
  • the above-mentioned technique displays the relationship between people and the risk of infection according to a predetermined rule.
  • the risk of infection that actually occurs is difficult to make by quantitative judgment alone, and it is often not possible to make an appropriate judgment based on the above-mentioned contents.
  • the present disclosure has been made in view of such problems, and an object of the present disclosure is to provide a risk display device or the like that can centrally display the infection risk that occurs in a complex manner.
  • the risk display device includes an image data acquisition means, a person identification means, a measurement means, a connection line setting means, a person icon generation means, an image generation means, and an output means.
  • the image data acquisition means acquires image data from the camera.
  • the person identification means identifies a plurality of people from the image data.
  • the measuring means measures the distance between the persons.
  • the connecting line setting means sets the appearance of the connecting line corresponding to the distance.
  • the person icon generation means generates a person icon indicating the person based on the image data.
  • the image generation means generates a risk image in which a plurality of the person icons are connected to each other via a connecting line.
  • the output means outputs the risk image data related to the risk image.
  • the computer executes the following method.
  • the computer acquires image data from the camera.
  • the computer identifies a plurality of people from the image data.
  • the computer measures the distance between the people.
  • the computer sets the appearance of the connecting line corresponding to the distance.
  • the computer generates a person icon indicating the person based on the image data.
  • the computer generates a risk image in which a plurality of the person icons are connected to each other via a connecting line.
  • the computer outputs the risk image data related to the risk image.
  • the program causes a computer to perform the following steps.
  • the computer acquires image data from the camera.
  • the computer identifies a plurality of people from the image data.
  • the computer measures the distance between the people.
  • the computer sets the appearance of the connecting line corresponding to the distance.
  • the computer generates a person icon indicating the person based on the image data.
  • the computer generates a risk image in which a plurality of the person icons are connected to each other via a connecting line.
  • the computer outputs the risk image data related to the risk image.
  • a risk display device or the like that can centrally display the infection risk that occurs in combination.
  • FIG. It is a block diagram of the risk display device which concerns on Embodiment 1.
  • FIG. It is a flowchart which shows the risk display method which concerns on Embodiment 1.
  • FIG. It is a figure which shows the example of the risk image generated by the risk display device which concerns on Embodiment 2.
  • FIG. It is a flowchart which shows the risk display method which concerns on Embodiment 3.
  • FIG. It is a figure which shows the 2nd example of the risk image generated by the risk display device which concerns on Embodiment 3.
  • FIG. It is a block diagram of the risk display device which concerns on Embodiment 4.
  • FIG. It is a flowchart which shows the risk display method which concerns on Embodiment 4. It is a figure which shows the example of the image displayed by the risk display device which concerns on Embodiment 4.
  • FIG. It is a block diagram of the risk display system which concerns on the modification of Embodiment 4. It is a block diagram which illustrates the hardware configuration of a computer.
  • FIG. 1 is a block diagram of the risk display device 10 according to the first embodiment.
  • the risk display device 10 is a device for displaying the infection risk for an infectious disease of each person from the contact situation between a plurality of people existing in a predetermined facility, for example.
  • the risk display device 10 is communicably connected to a camera that captures the scenery in the facility. Further, the risk display device 10 is communicably connected to a predetermined display device that displays a risk image.
  • the risk display device 10 has an image data acquisition unit 111, a specific unit 112, a measurement unit 113, a connection line setting unit 114, a person icon generation unit 115, an image generation unit 116, and an output unit 117 as main configurations. It should be noted that these configurations of the risk display device 10 are connected so as to be communicable as appropriate.
  • the image data acquisition unit 111 acquires image data generated at a plurality of different times by a camera installed so as to capture a landscape in a predetermined facility. For example, the camera generates image data of about 15 frames, 30 frames, or 60 frames per second, and the image data acquisition unit 111 uses the image data generated by the camera for 1/15 second, 1/30 second, or 60 minutes. Get every second.
  • the image data may be, for example, one camera or a plurality of cameras connected to the image data acquisition unit 111. Further, the camera to which the image data acquisition unit 111 is connected may be fixed for shooting a predetermined angle of view, or may be a movable one that pans, tilts, or zooms.
  • the image data acquisition unit 111 supplies the image data acquired from the camera to each configuration as appropriate.
  • the identification unit 112 receives the image data acquired by the image data acquisition unit 111, and identifies the person by detecting the image (personal image) of the person included in the received image data.
  • the specific unit 112 searches for a region having a feature amount that matches the feature amount of the person image, for example, by performing a convolution process on the image data. Then, the specific unit 112 determines that the region corresponding to the feature amount of the person image is the person image.
  • the specifying unit 112 identifies each of the plurality of persons included in the image.
  • the specific unit 112 supplies information about the specified person to the measurement unit 113.
  • the information about the identified person includes, for example, the position information of the person in the image.
  • the measurement unit 113 acquires image data from the image data acquisition unit 111, acquires information about the person from the specific unit 112, and then measures the distance between the people. As a result, the measuring unit 113 holds information about the distances of each of the plurality of persons. The measuring unit 113 supplies the connection line setting unit 114 with information about the distance measured for the person as well as information about the specified person.
  • the connection line setting unit 114 sets the appearance of the connection line from the information regarding the distance received from the measurement unit 113.
  • the connecting line in the present embodiment is a symbol for indicating the distance between two people.
  • the connection line setting unit 114 sets the appearance of the connection line in such a manner that the distance between people included in the image data can be grasped by the user visually recognizing the appearance of the connection line.
  • the appearance of the connecting line includes, for example, either the length, thickness, color tone or line type of the connecting line.
  • connection line setting unit 114 may indicate, for example, the distance between people by the length of the connection line.
  • the appearance of the connection line set by the connection line setting unit 114 is not limited to the above-mentioned specific example.
  • the connection line setting unit 114 makes a setting regarding the appearance of the connection line, the connection line setting unit 114 supplies information related to this setting to the image generation unit 116.
  • the person icon generation unit 115 generates a person icon indicating a person by using the image data received from the image data acquisition unit 111. For example, the person icon generation unit 115 extracts an image of a specified person and generates a person icon using the extracted image.
  • the image of the person extracted by the connection line setting unit 114 is, for example, an image of the face of the person (face image).
  • the person icon may include character data.
  • the person icon generation unit 115 supplies information about the generated person icon to the image generation unit 116.
  • the image generation unit 116 receives information on the appearance of the connection line from the connection line setting unit 114, and also receives information on the person icon from the person icon generation unit 115. Then, the image generation unit 116 generates a risk image from these received information. The image generation unit 116 supplies the generated risk image to the output unit 117.
  • the risk image is a connection of multiple person icons to each other via a connecting line. More specifically, the risk image is an image in which two person icons are connected by a predetermined connecting line. That is, in the risk image, the person icon represents the photographed person, and the connection line connecting the person icons represents the relationship between the two person icons connected by the connection line.
  • the risk display device 10 indicates the contact state between the persons to the user who visually recognizes the risk image.
  • the output unit 117 receives the risk image data from the image generation unit 116, and outputs the received risk image data to the display device to which the risk display device 10 is connected.
  • FIG. 2 is a flowchart showing the risk display method according to the first embodiment.
  • the risk display device 10 is started by, for example, a user who uses the risk display device 10 performs an operation instructing the start of the risk display method.
  • the image data acquisition unit 111 acquires a plurality of image data from the camera (step S11).
  • the image data acquisition unit 111 may temporarily store image data for a predetermined period and then supply the image data to other components.
  • the predetermined period is, for example, 10 minutes, 30 minutes, 60 minutes, or the like.
  • the identification unit 112 determines whether or not a plurality of persons have been identified from the image data (step S12). When it is not determined that a plurality of persons have been identified from the image data (step S12: NO), the risk display device 10 returns to step S11 and acquires new image data (step S11). When it is determined that a plurality of persons have been identified from the image data (step S12: YES), the risk display device 10 proceeds to step S13.
  • the measuring unit 113 measures the distance between the people from the image data (step S13).
  • the position of the person in the image data may change with the passage of time. Therefore, the measuring unit 113 can calculate a predetermined statistical value such as an average value or a minimum value with respect to the distance between the persons.
  • the measuring unit 113 supplies information regarding the distance measured for the specified person to the connecting line setting unit 114.
  • connection line setting unit 114 sets the appearance of the connection line corresponding to the distance (step S14).
  • the connection line setting unit 114 supplies the set information to the image generation unit 116.
  • the person icon generation unit 115 generates a person icon by using, for example, an image of a person included in the image data (step S15).
  • the person icon generation unit 115 supplies information about the generated person icon to the image generation unit 116.
  • the image generation unit 116 generates a risk image by using the information received from the connection line setting unit 114 and the information received from the person icon generation unit 115 (step S16).
  • the output unit 117 outputs the risk image data related to the risk image (step S17).
  • the risk display device 10 ends a series of processes.
  • the risk display device 10 has been described above.
  • the risk display device 10 has a processor and a storage device as a configuration (not shown).
  • the storage device included in the risk display device 10 includes a storage device including a non-volatile memory such as a flash memory or an SSD (Solid State Drive).
  • the storage device included in the risk display device 10 stores a computer program (hereinafter, also simply referred to as a program) for executing the above-mentioned risk display method.
  • the processor reads a computer program from the storage device into a buffer memory such as a DRAM (Dynamic Random Access Memory) and executes the program.
  • a buffer memory such as a DRAM (Dynamic Random Access Memory)
  • Each configuration of the risk display device 10 may be realized by dedicated hardware. Further, a part or all of each component may be realized by a general-purpose or dedicated circuitry, a processor, or a combination thereof. These may be composed of a single chip or may be composed of a plurality of chips connected via a bus. A part or all of each component of each device may be realized by the combination of the circuit or the like and the program described above. Further, as a processor, a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), an FPGA (field-programmable gate array), or the like can be used. It should be noted that the description of the configuration described herein may also be applied to other devices or systems described below in the present disclosure.
  • each component of the risk display device 10 when a part or all of each component of the risk display device 10 is realized by a plurality of information processing devices and circuits, the plurality of information processing devices and circuits may be centrally arranged. It may be distributed.
  • the information processing device, the circuit, and the like may be realized as a form in which each is connected via a communication network, such as a client-server system and a cloud computing system.
  • the function of the risk display device 10 may be provided in the SaaS (Software as a Service) format.
  • the embodiment 1 has been described above.
  • the risk display device 10 shows the contact state between people included in the image data taken by the camera by the above-described configuration.
  • the risk image output by the risk display device 10 includes information on the distance between people. Therefore, the user who visually recognizes the risk image can intuitively grasp the contact situation between the persons. For example, if one person is infected with an infectious disease, there is a demand to determine the risk of infection of the other person who comes into contact with the infected person. In response to such a request, the risk display device 10 can present the contact status between people. That is, according to the present embodiment, it is possible to provide a risk display device or the like that can centrally display the infection risk that occurs in combination.
  • FIG. 3 is a block diagram of the risk display system according to the second embodiment.
  • FIG. 3 shows the risk display system 1.
  • the risk display system 1 includes a risk display device 10, a display 200, and a camera 300.
  • the risk display device 10 in the present embodiment is communicably connected to the camera 300 via the communication network N1 and acquires image data generated by the camera 300. Further, the risk display device 10 is communicably connected to the display 200. The risk display device 10 generates a risk image from the image data acquired from the camera 300, and outputs the generated risk image to the display 200.
  • the display 200 is a display device including, for example, a liquid crystal display or organic electroluminescence.
  • the display 200 is communicably connected to the risk display device 10, receives image data related to the risk image from the risk display device 10, and displays the received image data.
  • the risk display device 10 and the display 200 are connected not via the communication network N1, but may be connected via the communication network N1.
  • the camera 300 is fixed at a predetermined position of the facility 900 and captures the scenery of the facility 900.
  • the camera 300 is communicably connected to the risk display device 10 via the communication network N1.
  • the camera 300 captures a landscape in which the first person P1, the second person P2, the third person P3, and the fourth person P4 exist at the angle of view shown by the dotted line, and generates image data. It is supplied to the risk display device 10.
  • the measuring unit 113 measures the distance between people and measures the time corresponding to this distance.
  • the measurement unit 113 in the present embodiment acquires image data from the image data acquisition unit 111, acquires information about a person from the specific unit 112, and then measures the distance between the people and the time corresponding to this distance. do. As a result, the measuring unit 113 holds information on the respective distances of the plurality of persons and the time elapsed at the distances. The measurement unit 113 supplies the connection line setting unit 114 with information on the distance measured for the person and information on the time, as well as information on the specified person.
  • the connection line setting unit 114 sets the appearance of the connection line from the information regarding the distance and time received from the measurement unit 113.
  • the connecting line in the present embodiment is a symbol for indicating the distance between two persons and the time elapsed at the distance.
  • the connection line setting unit 114 sets the appearance of the connection line in such a manner that the user visually recognizes the appearance of the connection line so that the distance between the persons included in the image data and the time elapsed at the distance can be grasped.
  • the appearance of the connecting line includes, for example, either the length, thickness, color tone or line type of the connecting line.
  • connection line setting unit 114 may indicate, for example, the distance between people by the length of the connection line.
  • the connection line setting unit 114 may indicate, for example, the length of time required for the distance between people by the thickness of the connection line.
  • the appearance of the connection line set by the connection line setting unit 114 is not limited to the above-mentioned specific example.
  • the connection line setting unit 114 makes a setting regarding the appearance of the connection line, the connection line setting unit 114 supplies information related to this setting to the image generation unit 116.
  • step S13 of the flowchart described in FIG. 2 is different from that of the first embodiment.
  • the measuring unit 113 measures the distance between the people and the time corresponding to the distance from the image data (step S13).
  • the position of the person in the image data may change with the passage of time. Therefore, the measuring unit 113 can calculate a predetermined statistical value such as an average value or a minimum value with respect to the distance between the persons. Similarly, the measuring unit 113 may calculate, for example, the passage of time in a predetermined distance range with respect to the time in the distance of the person.
  • the measuring unit 113 supplies the connection line setting unit 114 with information on the distance measured for the specified person and information on the time.
  • the risk display device 10 measures the distance between each person from the positions of the first person P1, the second person P2, the third person P3, and the fourth person P4 taken by the camera 300. Further, the risk display device 10 measures the time associated with each distance of the first person P1, the second person P2, the third person P3, and the fourth person P4 from the image data acquired from the camera 300. Then, the risk display device 10 generates a risk image from the above information, and outputs the image data related to the generated risk image to the display 200.
  • FIG. 4 is a diagram showing an example of a risk image generated by the risk display device 10 according to the second embodiment.
  • FIG. 4 shows the contact status of the first person P1, the second person P2, the third person P3, and the fourth person P4 shown in FIG. 3 centered on the first person P1.
  • FIG. 4 shows the risk image R11.
  • the risk image R11 includes a first icon P11, a second icon P21, a third icon P31, and a fourth icon P41.
  • the first icon P11 is an icon indicating the first person P1.
  • the second icon P21 indicates the second person P2
  • the third icon P31 indicates the third person P3
  • the fourth icon P41 indicates the fourth person P4.
  • the person icon generation unit 115 extracts the face images of the first person P1 to the fourth person P4 from the image data taken by the camera 300, and generates the first icon P11 to the fourth icon P41.
  • connection line L12 shows the contact state between the first person P1 and the second person P2.
  • the length D12 of the connecting line L12 indicates the distance between the first person P1 and the second person P2. That is, the closer the distance between the first person P1 and the second person P2 is, the shorter the length D12 of the connecting line L12 is displayed. Further, the farther the distance between the first person P1 and the second person P2 is, the longer the length D12 of the connecting line L12 is displayed.
  • the thickness W12 of the connecting line L12 indicates the time during which the first person P1 and the second person P2 existed at a distance over the length D12. That is, the longer the time that the first person P1 and the second person P2 exist at the distance over the length D12, the thicker the thickness W12 of the connecting line L12 is displayed. The shorter the time that the first person P1 and the second person P2 are present at the distance over the length D12, the thinner the thickness W12 of the connecting line L12 is displayed.
  • the first icon P11 and the third icon P31 are connected by a connection line L13.
  • the connection line L13 shows the contact state between the first person P1 and the third person P3.
  • the length D13 of the connecting line L13 indicates the distance between the first person P1 and the third person P3.
  • the thickness W13 of the connecting line L13 indicates the time during which the first person P1 and the third person P3 existed at a distance over the length D13.
  • connection line L14 shows the contact state between the first person P1 and the fourth person P4.
  • the length D14 of the connecting line L14 indicates the distance between the first person P1 and the fourth person P4.
  • the thickness W14 of the connecting line L14 indicates the time during which the first person P1 and the fourth person P4 existed at a distance over the length D14.
  • the length and thickness of the connecting line in the risk image R11 are set for the purpose of allowing the user who visually recognizes the risk image to easily grasp the contact status between the persons.
  • the length of the connecting line in the risk image R11 may be displayed by reducing the distance measured by the measuring unit 113, for example, or the distance measured by the measuring unit 113 multiplied by a predetermined coefficient. May be.
  • the thickness of the connection line set by the connection line setting unit 114 corresponds to the cumulative value of time when the distance between two people is closer than a predetermined threshold value.
  • the thickness of the connecting line in the risk image R11 may be displayed by, for example, a thickness proportional to the time measured by the measuring unit 113, or the time measured by the measuring unit 113 may be multiplied by a predetermined coefficient. It may be a coefficient.
  • the connection line setting unit 114 in the present embodiment sets the length of the connection line corresponding to the distance of a person and the thickness of the connection line corresponding to the time.
  • the risk display device 10 may be set to generate the above-mentioned risk image only when the distance between the persons is smaller than a predetermined threshold value. With such a configuration, the risk display device 10 can generate a risk image according to the infection risk.
  • the length of the connecting line set by the connecting line setting unit 114 in the present embodiment may correspond to the average value of the distances when the distance between the two persons is closer than a predetermined threshold value. .. Further, the length of the connecting line set by the connecting line setting unit 114 may correspond to the minimum value of the distance when the distance between two people is closer than a predetermined threshold value. Further, the risk display device 10 may be configured so that the content indicated by the length of the connecting line in the risk image can be switched according to the user's request. As a result, the risk display device 10 can display the contact status desired by the user.
  • the image generation unit 116 selects one person icon as a selection icon and arranges another person icon around the selection icon.
  • the selection icon is the first icon P11
  • the other person icons are the second icon P21, the third icon P31, and the fourth icon P41.
  • the selected person icon may be arranged as the selection icon.
  • the image generation unit 116 accepts a process of selecting the second icon P21.
  • the image generation unit 116 switches to a risk image that displays the contact status between the second person P2 on the second icon P21 and another person existing around the second person P2.
  • the risk display device 10 can centrally grasp the contact state between the person related to the selection icon and other persons existing around the person. That is, according to the present embodiment, it is possible to provide a risk display device or the like that can centrally display the infection risk that occurs in combination.
  • the third embodiment will be described.
  • the object to be measured by the measuring unit 113 and the display mode of the risk image are different from those in the above-described embodiment.
  • the measuring unit 113 in the present embodiment measures the distance between the persons specified from the image data and the time corresponding to this distance, as well as the position of each person and the direction of the face. That is, the measuring unit 113 measures the direction of the face of the person when the distance between the two people is closer than a predetermined threshold value.
  • the measuring unit 113 holds information on the distance between each of the plurality of persons, the time elapsed at the distance, the position of the person, and the direction of the face.
  • the measurement unit 113 supplies these information about the specified person to the connection line setting unit 114 and the image generation unit 116.
  • the image generation unit 116 in the present embodiment receives information on the position of each person and the direction of the face from the measurement unit 113 in addition to the information on the appearance of the connecting line and the information on the person icon. Then, the image generation unit 116 generates a risk image from these received information. That is, the image generation unit 116 arranges the person icon based on the direction of the face. More specifically, the image generation unit 116 arranges the positions of other person icons arranged around the selection icon according to the relative angle with the direction of the face applied to the selection icon. Further, the image generation unit 116 may arrange the direction of the face of another person icon arranged around the selection icon at an angle relative to the direction of the face applied to the selection icon.
  • the image generation unit 116 calculates the relative angle between the person icons and the direction of the face based on predetermined statistical values such as the average value and the angle at which the person icon stays for the longest time.
  • the image generation unit 116 in the present embodiment extracts the distance between the person on the selection icon and the people around it when generating the risk image, and the risk image when the distance is less than a preset threshold value. To generate.
  • the image generation unit 116 supplies the generated risk image to the output unit 117.
  • FIG. 5 is a flowchart showing the risk display method according to the third embodiment.
  • the flowchart shown in FIG. 5 is different from the flowchart shown in FIG. 2 in that it has step S31 instead of step S13.
  • the flowchart shown in FIG. 5 will be described focusing on the differences from the flowchart shown in FIG.
  • step S12 in the process of determining whether or not the specifying unit 112 has identified a plurality of persons from the image data (step S12), it is determined that a plurality of persons have been identified from the image data (step S12: YES). ), The risk display device 10 proceeds to step S31.
  • step S31 the measuring unit 113 measures the distance between the people and the time corresponding to the distance from the image data. Further, the measuring unit 113 measures the position of the person specified in the image data and the direction of the face (step S31). Of these measured information, the measuring unit 113 supplies information about the distance between the persons and the time corresponding to the distance to the connecting line setting unit 114. Further, the measuring unit 113 supplies the image generation unit 116 with information about the position of the specified person and the direction of the face among the measured information.
  • step S17 in the present embodiment the image generation unit 116 generates a risk image in consideration of the position of the person and the direction of the face.
  • FIG. 6 is a diagram showing a first example of a risk image generated by the risk display device according to the third embodiment.
  • FIG. 6 shows the risk image R21.
  • the first icon P11 is selected as the selection icon and is arranged in the center.
  • the first icon P11 is arranged so that the face of the first person P1 is extracted and the front of the face image faces upward in the figure. That is, the upper side of the figure shows the front for the first person P1 pertaining to the first icon P11. The lower part of the figure shows the rear side of the first icon P11 for the first person P1. Similarly, the right side of the figure shows the right side for the first person P1 with respect to the first icon P11, and the left side of the figure shows the left side for the first person P1 with respect to the first icon P11.
  • a circle C21 drawn by a dotted line is shown around the first icon P11.
  • the first icon P11 is arranged in the center of the circle C21.
  • the distance D10 is between the first icon P11 and the outer edge of the circle C21.
  • the distance D10 corresponds to a preset distance threshold Dth in the facility 900.
  • the image generation unit 116 displays a person icon of a person who exists at a distance less than the threshold value Dth around the first person P1 inside the circle C21.
  • the second icon P21, the third icon P31, and the fourth icon P41 related to another person are arranged around the first icon P11, respectively.
  • the second icon P21 is connected to the first icon P11 by the connection line L12 described with reference to FIG.
  • the third icon P31 is connected to the first icon P11 by the connection line L13
  • the fourth icon P41 is connected to the first icon P11 by the connection line L14.
  • the second icon P21, the third icon P31, and the fourth icon P41 are arranged at positions corresponding to the relative positional relationship with the first person P1 in the facility 900.
  • the second person P2 pertaining to the second icon P21 existed in front of the first person P1 in the facility 900. Therefore, the second icon P21 is arranged in front of the first icon P11.
  • the third person P3 was present at the facility 900 just behind the first person P1. Therefore, the third icon P31 is arranged on the right rear side of the first icon P11.
  • the fourth person P4 was present in the facility 900 in front of the left front of the first person P1. Therefore, the fourth icon P41 is arranged in front of the left of the first icon P11.
  • the risk display device 10 generates a risk image showing the distance, time, and direction between the selection icon and another person icon.
  • FIG. 7 is a diagram showing a second example of a risk image generated by the risk display device according to the third embodiment.
  • FIG. 7 shows the risk image R22.
  • the risk image R22 is different from the risk image R21 according to FIG. 6 in that the direction of the face of another person icon existing around the first icon P11 which is the selection icon is further displayed.
  • the second person P2 pertaining to the second icon P21 was present in front of the first person P1 in the facility 900, and was mainly directed toward the first person P1. Therefore, the second icon P21 is arranged in front of the first icon P11, and the front of the face image of the second icon P21 faces toward the first icon P11.
  • the third person P3 was present in the facility 900 behind the right side of the first person P1 and did not face the first person P1 but mainly turned to the right side. Therefore, the third icon P31 is arranged on the right rear side of the first icon P11, and the front surface of the face image of the third icon P31 faces in a direction deviating to the right from the first icon P11.
  • the fourth person P4 was present in front of the first person P1 in the facility 900 and was mainly facing the second person P2. Therefore, the fourth icon P41 is arranged in front of the left of the first icon P11, and the front of the face image of the fourth icon P41 faces the second icon P21.
  • the risk display device 10 can show the details of the contact situation between people in a manner that the user can easily grasp. Therefore, according to the present embodiment, it is possible to provide a risk display device or the like that can centrally display the infection risk that occurs in combination.
  • FIG. 8 is a block diagram of the risk display device 20 according to the fourth embodiment.
  • the risk display device 20 in the present embodiment has an infection risk value calculation unit 118 and a lip condition detection unit 119.
  • the infection risk value calculation unit 118 calculates the infection risk value based on at least the distance and time of the two persons.
  • the infection risk value is an index indicating the possibility of being infected with a preset infectious disease, and is indicated by a preset numerical value.
  • the infection risk value is defined by a numerical value from 0 to 1. In this case, for example, 0 means the lowest risk of infection and 1 means the highest risk of infection.
  • the "infection risk" indicates that the higher the value, the higher the possibility of infection. More specifically, for example, a situation in which two people talk face-to-face at close range has a relatively high risk of infection.
  • the information that is a factor for calculating the infection risk value is, for example, the distance between two people, the time required for the distance, and the orientation of each person's face.
  • the information that is an element for calculating the infection risk value may include the lip condition of the person.
  • the lip condition may include, for example, information such as whether the person is talking, wearing a mask, coughing or sneezing.
  • the lip state detection unit 119 detects the state of the lips of each person from the image data. For example, the lip state detection unit 119 detects that a person is opening and closing his mouth, coughing, or sneezing. When the lip state detection unit 119 detects the lip state, the lip state detection unit 119 supplies information regarding the detected lip state to the infection risk value calculation unit 118. In this case, the infection risk value calculation unit 118 calculates the infection risk value in consideration of the lip condition.
  • connection line setting unit 114 in the present embodiment receives information on the infection risk value from the infection risk value calculation unit 118, and sets the appearance of the connection line according to the received infection risk value. More specifically, for example, the connection line setting unit 114 may set the color tone of the connection line according to the infection risk value.
  • FIG. 9 is a flowchart showing the risk display method according to the fourth embodiment.
  • the processing between step S31 and step S14 is different from the flowchart described in FIG.
  • the lip state detection unit 119 detects the lip state from the image data (step S41).
  • the lip state detection unit 119 supplies information regarding the detected lip state to the infection risk value calculation unit 118.
  • the infection risk value calculation unit 118 acquires information on the distance between persons, the time, the direction of the person's face, and the lip condition, and calculates the infection risk value from these acquired information (step S42). ..
  • the infection risk value calculation unit 118 calculates the infection risk value
  • the infection risk value calculation unit 118 supplies the calculated information on the infection risk value to the connection line setting unit 114.
  • connection line setting unit 114 acquires information about the distance between people and the time required for the distance. Further, the connection line setting unit 114 acquires information on the infection risk value. Then, the connection line setting unit 114 sets the appearance of the connection line from these information (step S14). Since the subsequent processing is the same as the above-mentioned flowchart, the description here is omitted.
  • FIG. 10 is a diagram showing an example of an image displayed by the risk display device according to the fourth embodiment.
  • FIG. 10 shows the risk image R31.
  • each of the connecting lines is colored.
  • the connecting line L12 is red
  • the connecting line L13 is yellow
  • the connecting line L14 is green.
  • red has the highest infection risk value
  • green has the lowest infection risk value
  • yellow has a lower infection risk value than red and has a higher infection risk value than green.
  • the embodiment 4 has been described above.
  • the risk display device 20 according to the present embodiment calculates an infection risk value and sets the appearance of the connecting line according to the calculated infection risk value. As a result, the risk display device 20 can grasp the contact status between the person on the selection icon and another person together with the infection risk value. Therefore, according to the present embodiment, it is possible to provide a risk display device or the like that can centrally display the infection risk that occurs in combination.
  • FIG. 11 is a block diagram of the risk display system 2 according to the modified example of the fourth embodiment.
  • the risk display system 2 shown in FIG. 11 differs from the above-described embodiment in that the facility 900 has a thermal camera 400.
  • the thermal camera 400 generates thermal image data with an angle of view corresponding to the shooting range of the camera 300, and supplies the generated thermal image data to the risk display device 20.
  • the measuring unit 113 measures the body surface temperature applied to the specified person.
  • the infection risk value calculation unit 118 calculates the infection risk value in consideration of the body surface temperature.
  • the risk display device 20 can calculate the infection risk value in more detail. Therefore, according to the present embodiment, it is possible to provide a risk display device or the like that can centrally display the infection risk that occurs in combination.
  • FIG. 14 is a block diagram illustrating a computer hardware configuration.
  • the risk display device in the present disclosure can realize the above-mentioned functions by the computer 500 including the hardware configuration shown in the figure.
  • the computer 500 may be a portable computer such as a smartphone or a tablet terminal, or may be a stationary computer such as a PC.
  • the computer 500 may be a dedicated computer designed to realize each device, or may be a general-purpose computer.
  • the computer 500 can realize a desired function by installing a predetermined application.
  • the computer 500 has a bus 502, a processor 504, a memory 506, a storage device 508, an input / output interface (I / F) 510, and a network interface (I / F) 512.
  • the bus 502 is a data transmission path for the processor 504, the memory 506, the storage device 508, the input / output interface 510, and the network interface 512 to transmit and receive data to and from each other.
  • the method of connecting the processors 504 and the like to each other is not limited to the bus connection.
  • Processor 504 is a variety of processors such as CPU, GPU or FPGA.
  • the memory 506 is a main storage device realized by using a RAM (RandomAccessMemory) or the like.
  • the storage device 508 is an auxiliary storage device realized by using a hard disk, SSD, memory card, ROM (Read Only Memory), or the like.
  • the storage device 508 stores a program for realizing a desired function.
  • the processor 504 reads this program into the memory 506 and executes it to realize each functional component of each device.
  • the input / output interface 510 is an interface for connecting the computer 500 and the input / output device.
  • an input device such as a keyboard and an output device such as a display device are connected to the input / output interface 510.
  • the network interface 512 is an interface for connecting the computer 500 to the network.
  • (Appendix 1) Image data acquisition means for acquiring image data from the camera, Specific means for identifying a plurality of people from the image data, and A measuring means for measuring the distance between the persons and the person
  • a connection line setting means for setting the appearance of the connection line corresponding to the distance
  • a person icon generation means for generating a person icon indicating the person based on the image data
  • An image generation means for generating a risk image in which a plurality of the person icons are connected to each other via the connection line.
  • a risk display device including an output means for outputting risk image data related to the risk image.
  • the connecting line setting means sets the length of the connecting line corresponding to the distance.
  • the risk display device according to Appendix 1.
  • the measuring means further measures the time corresponding to the distance and
  • the connecting line setting means sets the appearance of the connecting line corresponding to the distance and the time.
  • the risk display device according to Appendix 1 or 2.
  • the connection line setting means sets the thickness of the connection line corresponding to the time.
  • the risk display device described in Appendix 3. (Appendix 5)
  • the length of the connecting line set by the connecting line setting means corresponds to the average value of the distance when the distance between the two persons is closer than a predetermined threshold value.
  • the thickness of the connecting line set by the connecting line setting means corresponds to the cumulative value of the time when the distance between the two persons is closer than a predetermined threshold value.
  • the risk display device according to Appendix 4. The image generation means selects one person icon as a selection icon and arranges another person icon around the selection icon.
  • the risk display device according to any one of Supplementary note 1 to 6. (Appendix 8) When the image generation means accepts a process of selecting one of the other person icons from the other person icons, the selected person icon is arranged as the selection icon.
  • the risk display device according to Appendix 7. (Appendix 9) The measuring means measures the direction of the face of the person when the distance between the two persons is closer than a predetermined threshold value, respectively.
  • the person icon generation means generates the person icon including the face of the person.
  • the image generating means arranges the person icon based on the direction of the face.
  • the risk display device according to Appendix 7 or 8. (Appendix 10)
  • the image generation means arranges the positions of the other person icons arranged around the selection icon at an angle relative to the orientation of the face on the selection icon.
  • the risk display device according to Appendix 9. (Appendix 11)
  • the image generation means arranges the direction of the face of the other person icon arranged around the selection icon at an angle relative to the direction of the face on the selection icon.
  • (Appendix 12) Further provided with an infection risk value calculation means for calculating an infection risk value based on at least the distance between the two persons.
  • the connecting line setting means sets the appearance of the connecting line according to the infection risk value.
  • the risk display device according to any one of Supplementary note 1 to 11. (Appendix 13) Further provided with a lip condition detecting means for detecting the lip condition of the person, The infection risk value calculating means calculates the infection risk value in consideration of the lip condition.
  • the risk display device according to Appendix 12.
  • the image data acquisition means further acquires thermal image data from a thermal camera and obtains thermal image data.
  • the measuring means measures the body surface temperature of the person based on the thermal image data, and measures the body surface temperature of the person.
  • the infection risk value calculating means calculates the infection risk value by further adding the body surface temperature.
  • the risk display device according to Appendix 12 or 13.
  • the connecting line setting means sets the color tone of the connecting line according to the infection risk value.
  • the risk display device according to any one of Supplementary Provisions 12 to 14.
  • the computer Get image data from the camera Identify multiple people from the image data and Measure the distance between the people and Set the appearance of the connecting line corresponding to the distance, A person icon indicating the person is generated based on the image data. Generate a risk image in which a plurality of the person icons are connected to each other via the connection line. Output the risk image data related to the risk image, Risk display method.
  • Risk display system 2 Risk display system 10
  • Risk display device 20 Risk display device 111
  • Measurement unit 114 Connection line setting unit 115
  • Person icon generation unit 116 Image generation unit 117
  • Output unit 118 Infection risk value calculation unit 119
  • Lip condition detector 200 Display 300
  • Camera 400 Thermal camera 500
  • Computer 900 Facility L12 Connection line L13 Connection line L14 Connection line N1
  • Communication network P1 1st person P2 2nd person P3 3rd person P4 4th person P11 1st icon P21 1st 2 Icon P31 3rd Icon P41 4th Icon R11 Risk Image R21 Risk Image R22 Risk Image R31 Risk Image

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