WO2017154595A1 - 生体探索システム - Google Patents

生体探索システム Download PDF

Info

Publication number
WO2017154595A1
WO2017154595A1 PCT/JP2017/006844 JP2017006844W WO2017154595A1 WO 2017154595 A1 WO2017154595 A1 WO 2017154595A1 JP 2017006844 W JP2017006844 W JP 2017006844W WO 2017154595 A1 WO2017154595 A1 WO 2017154595A1
Authority
WO
WIPO (PCT)
Prior art keywords
search
image data
camera
living body
client
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/JP2017/006844
Other languages
English (en)
French (fr)
Japanese (ja)
Inventor
和雄 市原
河野 雅一
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Prodrone Co Ltd
Original Assignee
Prodrone Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Prodrone Co Ltd filed Critical Prodrone Co Ltd
Priority to CN201780016358.5A priority Critical patent/CN108781276A/zh
Priority to US16/080,907 priority patent/US20190057252A1/en
Publication of WO2017154595A1 publication Critical patent/WO2017154595A1/ja
Anticipated expiration legal-status Critical
Priority to US16/685,323 priority patent/US20200089943A1/en
Ceased legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/172Classification, e.g. identification
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/10Terrestrial scenes
    • G06V20/13Satellite images
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/10Terrestrial scenes
    • G06V20/17Terrestrial scenes taken from planes or by drones
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/103Static body considered as a whole, e.g. static pedestrian or occupant recognition
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • H04N7/183Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a single remote source
    • H04N7/185Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a single remote source from a mobile camera, e.g. for remote control
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • H04N7/188Capturing isolated or intermittent images triggered by the occurrence of a predetermined event, e.g. an object reaching a predetermined position
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B64AIRCRAFT; AVIATION; COSMONAUTICS
    • B64UUNMANNED AERIAL VEHICLES [UAV]; EQUIPMENT THEREFOR
    • B64U10/00Type of UAV
    • B64U10/10Rotorcrafts
    • B64U10/13Flying platforms
    • B64U10/14Flying platforms with four distinct rotor axes, e.g. quadcopters
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B64AIRCRAFT; AVIATION; COSMONAUTICS
    • B64UUNMANNED AERIAL VEHICLES [UAV]; EQUIPMENT THEREFOR
    • B64U2101/00UAVs specially adapted for particular uses or applications
    • B64U2101/30UAVs specially adapted for particular uses or applications for imaging, photography or videography
    • B64U2101/31UAVs specially adapted for particular uses or applications for imaging, photography or videography for surveillance
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B64AIRCRAFT; AVIATION; COSMONAUTICS
    • B64UUNMANNED AERIAL VEHICLES [UAV]; EQUIPMENT THEREFOR
    • B64U2101/00UAVs specially adapted for particular uses or applications
    • B64U2101/55UAVs specially adapted for particular uses or applications for life-saving or rescue operations; for medical use
    • B64U2101/56UAVs specially adapted for particular uses or applications for life-saving or rescue operations; for medical use for locating missing persons or animals
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B64AIRCRAFT; AVIATION; COSMONAUTICS
    • B64UUNMANNED AERIAL VEHICLES [UAV]; EQUIPMENT THEREFOR
    • B64U2201/00UAVs characterised by their flight controls
    • B64U2201/10UAVs characterised by their flight controls autonomous, i.e. by navigating independently from ground or air stations, e.g. by using inertial navigation systems [INS]
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B64AIRCRAFT; AVIATION; COSMONAUTICS
    • B64UUNMANNED AERIAL VEHICLES [UAV]; EQUIPMENT THEREFOR
    • B64U2201/00UAVs characterised by their flight controls
    • B64U2201/20Remote controls
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING SYSTEMS, e.g. PERSONAL CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00Burglar, theft or intruder alarms
    • G08B13/18Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
    • G08B13/189Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
    • G08B13/194Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
    • G08B13/196Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
    • G08B13/19639Details of the system layout
    • G08B13/19647Systems specially adapted for intrusion detection in or around a vehicle
    • G08B13/1965Systems specially adapted for intrusion detection in or around a vehicle the vehicle being an aircraft

Definitions

  • the present invention relates to a living body search system for searching for a specific person or the like within a predetermined range such as indoors or outdoors.
  • Patent Document 1 a lost child search system has been proposed as a human search system.
  • the above-described lost child search system is carried by a person entering a facility such as an amusement park, and is placed at a predetermined location in the facility, which transmits a unique information registered in advance when a question signal is received.
  • the interrogator transmits the interrogation signal to the ID tag and prompts transmission of the unique information of the ID tag, and is arranged at a predetermined place in the facility.
  • a camera device that captures an image of the person when the person with the ID tag passes, an image of each person obtained by the camera device, and unique information of each ID tag obtained by the interrogator And a management device for creating identification data for each person.
  • a photograph of a facility visitor is taken with a camera, and the captured image is automatically recorded in pairs with an ID.
  • interrogators interspersed with the corresponding IDs The location is roughly identified with reference to the read history, the person's face photo is printed out, and a staff member searches the facility.
  • Patent Document 2 a monitoring system for capturing a video of a moving object to be tracked by linking a plurality of monitoring camera devices is known (see Patent Document 2).
  • the monitoring camera device has an image recognition function, and the tracking target is tracked by being configured to transmit the captured image of the tracking target and the feature information to another monitoring camera device via the network. It is possible to continue.
  • An object of the present invention is to provide a living body search system capable of quickly and accurately searching for an object to be searched.
  • the living body search system of the present invention includes: A living body search system for searching for a living body requested to be searched by a client as a search object within a predetermined range indoors or outdoors, A camera to observe the surroundings, Image data processing means for capturing image data of the observed image when a predetermined characteristic portion of the search object is detected in the image observed by the camera; Moving means capable of arbitrarily moving in space, An unmanned mobile body comprising a communication means for transmitting and receiving data to and from the server; A database capable of recording search data including individual identification information of the search target and notification destination information of the client; A server comprising notification means for notifying the client when the search object is discovered, The unmanned mobile body and the server are connected by a communication network, The unmanned mobile body or the server comprises individual identification means for comparing the image data with the individual identification information to determine whether the search object of the image data is a search object, A data registration step of registering the search data provided in advance by the client in the server, A moving step in which the moving body moves
  • the unmanned mobile body is preferably an unmanned aircraft.
  • the living body search system it is preferable to use a plurality of unmanned moving bodies as the unmanned moving body.
  • the biological search system is a human search system in which the object to be searched is a person, wherein the image data processing step includes a face detection step using a human face as a predetermined characteristic portion, and the individual recognition step includes It is preferable that the search target person's face information is used as the individual identification information.
  • the image data processing step includes a human detection step of determining human detection when recognizing a human silhouette in an observation image, and even if human detection can be performed in the human detection step,
  • a human detection step of determining human detection when recognizing a human silhouette in an observation image, and even if human detection can be performed in the human detection step.
  • face detection is not possible in the face detection step, it is preferable to control the moving body so as to move the moving body to a position where face detection is possible.
  • the search data of the client includes information on necessity of tracking of the search target, and in the case of tracking, when the search target is found, the mobile object searches the search target. It is preferable to have a tracking step for tracking the body.
  • the search data of the client includes a message from the client with respect to the search target, and when the search target is found, a message giving step of sending the message to the search target It is preferable to have.
  • the living body search system of the present invention uses an unmanned moving body including a camera for observing the surroundings, an image recording unit, a moving unit capable of arbitrarily moving in space, and a communication unit for transmitting and receiving data to and from the server. Therefore, the position of the camera can be moved arbitrarily, no blind spots are generated, and the search object can be tracked by the camera. It is possible to easily perform image recognition without increasing the distance, and to obtain an effect that it is possible to search a search object quickly and accurately.
  • FIG. 1 is an explanatory diagram showing a schematic configuration of an embodiment of the living body search system of the present invention.
  • the embodiment shown in FIG. 1 is an example of a human search system in the case of searching for a specific person S (searchee) as a search target, and is an example in the case of using an unmanned aircraft (multicopter 30) as an unmanned mobile body. .
  • the person search system in FIG. 1 is for searching for a specific individual (living body individual) requested by a client as a search target in a predetermined range indoors or outdoors.
  • the human search system 10 includes a multicopter 30 and a server 50.
  • the unmanned aircraft 30 and the server 50 are connected by a communication network 90, and are configured to be able to transmit and receive data.
  • the server 50 is installed, for example, in a search center or the like, and operations such as data input operations are performed by an attendant.
  • the communication network 90 may be either a shared network provided for public flights or an original dedicated network.
  • the communication network 90 and the wireless aircraft 30 are connected by a wireless method.
  • the communication network 90 and the server 50 may be connected by either a wireless method or a wired method.
  • As the shared network a normal wired fixed telephone line, mobile telephone line, or the like can be used.
  • FIG. 2 is a block diagram showing the configuration of the unmanned mobile body of the biological search system of FIG.
  • the human search system in FIG. 1 uses the multicopter 30 as an unmanned mobile body.
  • the multicopter 30 includes a moving unit 300 that can arbitrarily move by flying in space.
  • the moving means 300 of the multicopter 30 includes a plurality of rotor blades 310 that generate lift, a control unit 320 that controls flight operations, a battery 340 that supplies power to each component, and the like.
  • the multicopter 30 is formed so that it can move autonomously.
  • an unmanned automobile or the like configured to be capable of automatic driving can be used in addition to the unmanned aircraft. If you use an unmanned aerial vehicle such as a multicopter, you do not need to scrape people even in crowded crowds, and you can fly and move at a height that is out of reach of people. Is less likely to happen.
  • the unmanned mobile body may be movable by remote operation.
  • a DC motor 311 is coupled to each rotor blade 310 and is connected to the control unit 320 via an ESC (Electric Speed Controller) 312.
  • the control unit 320 includes a CPU (central processing unit) 323, a RAM / ROM (storage device) 322, a PWM controller 324, and the like.
  • the control unit 320 is further connected to a sensor group 325 such as an acceleration sensor, a gyro sensor (angular velocity sensor), an atmospheric pressure sensor, a geomagnetic sensor (electronic compass), a GPS receiver 326, and the like.
  • the control of the multicopter 30 is performed by adjusting the rotational speed of the DC motor 311 via the ESC 312 by the PWM controller 324 of the moving unit 300. That is, the posture and position of the multicopter 30 can be controlled by appropriately adjusting the rotation direction and the balance of the rotation speeds of the plurality of rotor blades 310.
  • the RAM / ROM 322 of the control unit 320 stores a flight control program in which a flight control algorithm during the flight of the multicopter 30 is implemented.
  • the control unit 321 can control the attitude and position of the multicopter 30 using a flight control program using information acquired from the sensor group 325 and the like.
  • the multicopter 30 is configured to be able to fly within a predetermined range and move for searching for the search object by the moving unit 300.
  • the multicopter 30 transmits the image data captured by the camera 350 for observing the surroundings, the image data processing unit 360 for capturing image data of the still image from the camera, and the image data processing unit 360 to the server 50, Communication means 370 for receiving data from the server 50 is provided.
  • the communication means 370 a communication device capable of wireless transmission / reception is used.
  • the camera 350 is used for monitoring and observing the periphery of the multicopter 30, and may be any camera that can capture a still image as necessary.
  • a visible light camera that forms an image with visible light an infrared camera that forms an image with infrared light, or the like can be used.
  • an image sensor used for a surveillance camera or the like can be used.
  • a plurality of cameras 350 may be provided in the multicopter 30.
  • four cameras 350 may be installed in four different directions.
  • the camera 350 may be attached to the bottom of the multicopter as a 360-degree camera so that the entire periphery of the multicopter can be observed.
  • the multicopter 30 determines the human face as a characteristic part of the search object, and when a human face is detected in the image observed by the camera 350, the image data of the still image of the observed image can be captured.
  • a configured image data processing means 360 is provided.
  • the image data processing means 360 can be used as long as it can take image data into a mobile body or a server. Specifically, there are a process for recording image data in a recording device, a process for temporarily storing image data in a storage device, a process for transmitting image data to a server, and the like.
  • the image data processing means 360 uses a face detection means for detecting a human face (sometimes referred to as face detection).
  • the face detection means performs image processing on the monitored image in real time, performs pattern analysis, pattern identification, and the like. If a human face is recognized, the face is detected.
  • the image data processing means 360 has a human detection means for discriminating from human detection when a human silhouette is recognized in the observed image.
  • the human detection means performs image processing, performs pattern analysis, pattern recognition, and the like, and it is assumed that a human is detected when it is recognized that a human body silhouette is present in the image.
  • face detection refers to detecting the location of a part that is a face. Face recognition detects a face and then identifies an individual from the feature information of the face. It is a process to do.
  • the multicopter 30 includes an audio input device 380 such as a microphone, and an output device 390 such as sound, image, and video.
  • the voice input device 380 can input the searchee's voice and use it for conversation with a staff member of the search center.
  • the output device 390 include an audio output device such as a speaker, an image display device such as a liquid crystal display, and an image projection device such as a projector.
  • the output device 390 is used for giving (transmitting) a message to the searchee, and for a staff member of the search center to have a conversation with the searchee.
  • the server 50 includes a database 510 capable of recording search data such as individual identification information of the searchee S, the telephone number of the requester, and notification destination information such as an email address, and a request when the searchee S is discovered.
  • search data such as individual identification information of the searchee S, the telephone number of the requester, and notification destination information such as an email address, and a request when the searchee S is discovered.
  • Notification means 520 for notifying a person individual identification means 530 used for determining whether or not the search object is a search target, in contrast to image data including an image of a searcher input from a camera
  • the database 510 includes an input device 540 for inputting the search data. Communication network 90 and server 50. This is done via the control device.
  • the search data registered in the database 510 includes, in addition to the search range, the individual identification information of the searchee, and the contact information of the client, as additional information, whether or not tracking is required, the data from the client to the searcher Examples include voice messages and video messages.
  • image data such as a personal face photograph
  • information such as the color of personal clothes
  • data such as personal height and weight, and the like are used.
  • the notification means 520 is a communication device that can communicate voice, characters, images, and the like, and specifically includes a mobile phone, a personal computer, a facsimile, and the like. Examples of the notification destination notified by the notification unit 520 include a mobile phone, a management center, and the Internet.
  • the notification unit 520 causes the control device 550 to search the database 510 for a contact address, and notifies the contact point of the discovery using the notification unit 520. be able to.
  • voice, text, image data, a combination thereof, or the like can be used.
  • FIG. 3 is a flowchart showing the procedure of the person search system.
  • S110 A data registration step for registering search target data provided in advance by a client.
  • S120 A moving step in which the moving body moves within the search range while observing the surroundings with the camera.
  • S130 a person detection step of determining whether there is a person in the observation image of the camera and performing person detection.
  • S140 A face detection step of determining whether there is a face in the observation image of the camera and performing face detection.
  • S150 An image data processing step of determining that a target search object has been detected when a predetermined characteristic portion is detected in the observation image of the camera, and capturing the observation image of the camera as image data.
  • S160 An individual recognition step of performing individual recognition of the target search object by comparing the target search object of the image data with the individual identification information of the search object.
  • S170 A discovery notification step in which, when the object search object of the image data matches the individual identification information in the individual recognition step, the notification means notifies the client of the discovery of the search object as having been found.
  • a search center operator registers search data provided by a client in the database 510 using the input device 540 of the server 50.
  • a control signal is sent from the control device 550 of the server 50 to the multicopter 30 via the communication network 90, and a predetermined search range is moved while observing the surroundings with the camera 350.
  • the person detection step S130 it is determined whether or not there is a person in the observation image of the camera 350, and person detection is performed. If no person is detected in the person detection step S130 (NO), the process returns to the movement step S120, and the multicopter 30 further moves within the search range. If a person is detected in the person detection step 120 (YES), the process proceeds to the next face detection step S140. In the human detection step S120, it is determined that a person is detected when the silhouette of the human body is recognized.
  • face detection step S140 it is determined whether or not there is a face image in the observation image of the camera. When there is no face image (NO), the process returns to the moving step S120, and the multicopter 30 is moved. The multicopter 30 is moved to a position such as the front side of a human face so that the face can be detected. On the other hand, if a face image can be detected (YES), it is determined that a searcher has been detected, and the process proceeds to image data processing step S150.
  • the image of the camera 350 is stored as image data by the image data processing means 360.
  • the stored image data is sent to the server 50 via the communication network 90 by the control device 392 using the communication means 370.
  • the server 50 performs an individual recognition step S160.
  • the image data sent to the server 50 is sent to the individual identification means 530 via the control device 550, and the face information of the search target registered as the personal identification information in the database is used. It is determined whether or not the person (searcher) of the information image data is a search target person. The determination is made by comparing the registered single or plural face information and face image data, and when it exceeds a predetermined matching rate, it is determined that the search object matches and the next discovery notification Proceed to step S170. On the other hand, as a result of the comparison, if the match rate has not been reached, the multi-copter 30 is moved by returning to the moving step S120 as a mismatch.
  • the searcher is notified using the notification means 520 that the searchee S is found.
  • a discovery destination a mobile phone, a management center, the Internet
  • the Internet registered in advance is notified of the fact of discovery.
  • the location information of the discovered location can be added and notified. If the position information is outdoors, the position information of the GPS receiver of the multicopter 30 can be used. In addition, if it is indoors, surrounding video, position information used by the multicopter for self-position estimation, etc. can be used.
  • the database 510 is inquired about the presence / absence of additional information in the search data. If there is no additional information, the process is terminated. If there is additional information, processing such as message giving step S190 and tracking step S200 is continued.
  • a voice message or a video message from a client registered in the database in advance is transmitted to the searchee S using the output device of the multicopter 30. Further, by using a voice input device 380 such as a camera 350 and a microphone and an output device 390 for images, voices, etc., a voice call, a call with an image, and the like are performed between a staff member of the management center on the server 50 side and the search target S It is also possible to go and communicate with the discovered search target.
  • a voice input device 380 such as a camera 350 and a microphone and an output device 390 for images, voices, etc.
  • a voice call, a call with an image, and the like are performed between a staff member of the management center on the server 50 side and the search target S It is also possible to go and communicate with the discovered search target.
  • the flight of the multicopter 30 is controlled so that the multicopter 30 continues to track the search target person S for the person whose tracking data is flagged in the search data of the database. Continue monitoring.
  • the tracking step S200 when tracking and monitoring are performed, it is impossible for one multicopter 30 to search a previously specified search range at the same time.
  • a spare multicopter can be prepared and the spare multicopter can be activated at the start of tracking to take over the search of the designated range.
  • the tracking in tracking step S200 can be performed by dispatching another multicopter.
  • the multi-copter for overall monitoring is large and operates for a long time, such as equipped with a 360-degree camera at the bottom of the structure, or installed four cameras in four directions and simultaneously shooting,
  • the tracking multicopter can be configured as a small device with only a single camera and low noise.
  • the multi-copter for tracking is mounted on the multi-copter for general monitoring, and it will be dispatched from here when tracking. It may be configured.
  • the living individual that is the search target is not limited to the above-described person, but can be applied to various living individuals such as pets such as dogs and cats and other animals.
  • the image data captured by the camera is sent to the server, and the individual recognition step is performed by the individual identification means provided in the image server.
  • the performance of the multi-copter CPU is sufficiently high. If recognition is possible, it is also possible to provide individual identification means in the multicopter, receive only the face data of the search object from the server, and perform the individual recognition step only on the multicopter.
  • image data is sent to a server via a communication network, and face recognition is performed by the server. It is reasonable to perform this process.
  • a visible light camera is used for individual recognition, and a person to be searched is detected by face recognition technology using face information of captured image data.
  • a handle or the like may be used.
  • the temperature of the search object is detected from the heat distribution image obtained by the infrared camera, and temperature data such as body temperature is used as the individual identification information of the living body. It is also possible to perform identification.
  • the accuracy of individual recognition can be improved by using data other than face detection together with face detection.
  • Examples of other data include information on the body weight and height of the search target, clothing color, and the like.
  • the above data is effective when the face is not facing the multi-copter camera.

Landscapes

  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Signal Processing (AREA)
  • Remote Sensing (AREA)
  • Astronomy & Astrophysics (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Alarm Systems (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Closed-Circuit Television Systems (AREA)
  • Image Analysis (AREA)
PCT/JP2017/006844 2016-03-11 2017-02-23 生体探索システム Ceased WO2017154595A1 (ja)

Priority Applications (3)

Application Number Priority Date Filing Date Title
CN201780016358.5A CN108781276A (zh) 2016-03-11 2017-02-23 生物体搜索系统
US16/080,907 US20190057252A1 (en) 2016-03-11 2017-02-23 Living body search system
US16/685,323 US20200089943A1 (en) 2016-03-11 2019-11-15 Living body search system

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP2016049026A JP6340538B2 (ja) 2016-03-11 2016-03-11 生体探索システム
JP2016-049026 2016-03-11

Related Child Applications (2)

Application Number Title Priority Date Filing Date
US16/080,907 A-371-Of-International US20190057252A1 (en) 2016-03-11 2017-02-23 Living body search system
US16/685,323 Continuation US20200089943A1 (en) 2016-03-11 2019-11-15 Living body search system

Publications (1)

Publication Number Publication Date
WO2017154595A1 true WO2017154595A1 (ja) 2017-09-14

Family

ID=59790425

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2017/006844 Ceased WO2017154595A1 (ja) 2016-03-11 2017-02-23 生体探索システム

Country Status (4)

Country Link
US (2) US20190057252A1 (https=)
JP (1) JP6340538B2 (https=)
CN (2) CN111401237A (https=)
WO (1) WO2017154595A1 (https=)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3483852A1 (en) * 2017-11-13 2019-05-15 Toyota Jidosha Kabushiki Kaisha Rescue system and rescue method, and server used for rescue system and rescue method
CN109788246A (zh) * 2017-11-13 2019-05-21 丰田自动车株式会社 救援系统、救援方法及其所使用的服务器
CN109788244A (zh) * 2017-11-13 2019-05-21 丰田自动车株式会社 救援系统、救援方法及其所使用的服务器
US10827725B2 (en) 2017-11-13 2020-11-10 Toyota Jidosha Kabushiki Kaisha Animal rescue system and animal rescue method, and server used for animal rescue system and animal rescue method
JPWO2022064691A1 (https=) * 2020-09-28 2022-03-31

Families Citing this family (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP7034659B2 (ja) * 2017-10-12 2022-03-14 能美防災株式会社 移動ロボット
CN109814588A (zh) * 2017-11-20 2019-05-28 深圳富泰宏精密工业有限公司 飞行器以及应用于飞行器的目标物追踪系统和方法
JP2019101766A (ja) * 2017-12-03 2019-06-24 株式会社グランゲートジャパン ユーザ支援システム
CN111527463B (zh) * 2018-01-22 2024-02-23 深圳市大疆创新科技有限公司 用于多目标跟踪的方法和系统
WO2020070897A1 (ja) * 2018-10-05 2020-04-09 株式会社イームズラボ 監視システム、管理装置、監視方法、管理装置の制御プログラム
JP2020150381A (ja) * 2019-03-13 2020-09-17 三菱電機エンジニアリング株式会社 位置情報検知システム
IT202100002021A1 (it) * 2021-02-01 2022-08-01 Wenvent It S R L Sistema e metodo di acquisizione dati immagine da un dispositivo volante
CN118202643A (zh) * 2021-11-12 2024-06-14 索尼集团公司 信息处理装置、移动体和信息处理方法
KR102757011B1 (ko) * 2022-04-21 2025-01-21 정호윤 비가림용 드론 제어 장치 및 방법
JP2024034690A (ja) 2022-09-01 2024-03-13 日本電気株式会社 検出システム、検出方法、およびプログラム
JP2024120838A (ja) * 2023-02-24 2024-09-05 全国農業協同組合連合会 鳥獣害対策システム、装置、方法およびプログラム

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006092396A (ja) * 2004-09-27 2006-04-06 Oki Electric Ind Co Ltd 単独行動者及びグループ行動者検知装置
JP2012078950A (ja) * 2010-09-30 2012-04-19 Sogo Keibi Hosho Co Ltd 自律移動体を用いた監視システム、監視装置、自律移動体、監視方法、及び監視プログラム
JP2015207149A (ja) * 2014-04-21 2015-11-19 薫 渡部 監視システム及び監視方法

Family Cites Families (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7505610B2 (en) * 2003-08-07 2009-03-17 Intelitroc Inc. Integrated portable identification and verification device
CN201217501Y (zh) * 2008-06-13 2009-04-08 金笛 悬浮式航空摄像自主飞行器系统
CN102186056B (zh) * 2011-03-29 2013-03-20 河北师范大学 手机远程控制智能视频监控系统及其监控方法
CN102521578B (zh) * 2011-12-19 2013-10-30 中山爱科数字科技股份有限公司 一种入侵检测和识别方法
US20140316614A1 (en) * 2012-12-17 2014-10-23 David L. Newman Drone for collecting images and system for categorizing image data
US20140351016A1 (en) * 2013-05-22 2014-11-27 Syed S. Khundmiri Generating and implementing campaigns to obtain information regarding products and services provided by entities
CN203528817U (zh) * 2013-06-18 2014-04-09 桂林理工大学 一种基于无人机的山地旅游紧急救援系统
JP6022627B2 (ja) * 2014-03-27 2016-11-09 株式会社電通 避難支援システム、避難支援用管理プログラム、避難支援用端末アプリケーションプログラム及び避難支援方法
CN103895462A (zh) * 2014-04-15 2014-07-02 北京航空航天大学 一种可实现人脸检测和光伏发电的陆空两用搜救装置
US20160072771A1 (en) * 2014-09-08 2016-03-10 Mark Krietzman Health and other use of collection of archival digital data
CN104794468A (zh) * 2015-05-20 2015-07-22 成都通甲优博科技有限责任公司 一种基于无人机动平台的人脸检测与跟踪方法
US10586464B2 (en) * 2015-07-29 2020-03-10 Warren F. LeBlanc Unmanned aerial vehicles
CN105117022A (zh) * 2015-09-24 2015-12-02 北京零零无限科技有限公司 一种控制无人机随脸转动的方法和装置
US10040551B2 (en) * 2015-12-22 2018-08-07 International Business Machines Corporation Drone delivery of coffee based on a cognitive state of an individual

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006092396A (ja) * 2004-09-27 2006-04-06 Oki Electric Ind Co Ltd 単独行動者及びグループ行動者検知装置
JP2012078950A (ja) * 2010-09-30 2012-04-19 Sogo Keibi Hosho Co Ltd 自律移動体を用いた監視システム、監視装置、自律移動体、監視方法、及び監視プログラム
JP2015207149A (ja) * 2014-04-21 2015-11-19 薫 渡部 監視システム及び監視方法

Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11107344B2 (en) 2017-11-13 2021-08-31 Toyota Jidosha Kabushiki Kaisha Rescue system and rescue method, and server used for rescue system and rescue method
US11373499B2 (en) 2017-11-13 2022-06-28 Toyota Jidosha Kabushiki Kaisha Rescue system and rescue method, and server used for rescue system and rescue method
CN109788242A (zh) * 2017-11-13 2019-05-21 丰田自动车株式会社 救援系统、救援方法及其所使用的服务器
CN109788244A (zh) * 2017-11-13 2019-05-21 丰田自动车株式会社 救援系统、救援方法及其所使用的服务器
RU2714389C1 (ru) * 2017-11-13 2020-02-14 Тойота Дзидося Кабусики Кайся Система спасения и способ спасения, и сервер, используемый для системы спасения и способа спасения
US10827725B2 (en) 2017-11-13 2020-11-10 Toyota Jidosha Kabushiki Kaisha Animal rescue system and animal rescue method, and server used for animal rescue system and animal rescue method
CN109788246A (zh) * 2017-11-13 2019-05-21 丰田自动车株式会社 救援系统、救援方法及其所使用的服务器
US11727782B2 (en) 2017-11-13 2023-08-15 Toyota Jidosha Kabushiki Kaisha Rescue system and rescue method, and server used for rescue system and rescue method
EP3483852A1 (en) * 2017-11-13 2019-05-15 Toyota Jidosha Kabushiki Kaisha Rescue system and rescue method, and server used for rescue system and rescue method
CN109788242B (zh) * 2017-11-13 2022-05-31 丰田自动车株式会社 救援系统、救援方法及其所使用的服务器
US11393215B2 (en) 2017-11-13 2022-07-19 Toyota Jidosha Kabushiki Kaisha Rescue system and rescue method, and server used for rescue system and rescue method
JPWO2022064691A1 (https=) * 2020-09-28 2022-03-31
WO2022064691A1 (ja) * 2020-09-28 2022-03-31 日本電気株式会社 集荷支援装置、集荷支援方法、及び、プログラム記録媒体
JP7586185B2 (ja) 2020-09-28 2024-11-19 日本電気株式会社 集荷支援装置、集荷支援方法、及び、プログラム
JP2025020315A (ja) * 2020-09-28 2025-02-12 日本電気株式会社 プログラム、及び、集荷支援方法

Also Published As

Publication number Publication date
JP2017163511A (ja) 2017-09-14
CN108781276A (zh) 2018-11-09
CN111401237A (zh) 2020-07-10
JP6340538B2 (ja) 2018-06-13
US20200089943A1 (en) 2020-03-19
US20190057252A1 (en) 2019-02-21

Similar Documents

Publication Publication Date Title
JP6340538B2 (ja) 生体探索システム
US11097690B2 (en) Identifying and authenticating autonomous vehicles and passengers
US10796132B2 (en) Public service system and method using autonomous smart car
US10198954B2 (en) Method and apparatus for positioning an unmanned robotic vehicle
JP5674307B2 (ja) 対象者検出システムおよび対象者検出方法
US9237267B2 (en) Imaging systems, moving bodies, and imaging control methods for remote monitoring of a moving target
KR102559745B1 (ko) 공항 로봇 및 그를 포함하는 공항 로봇 시스템
US11373398B2 (en) Methods and systems for operating a moving platform to determine data associated with a target person or object
CN111815219B (zh) 信息处理系统以及信息处理方法
US20210171046A1 (en) Method and vehicle system for passenger recognition by autonomous vehicles
JP2017163511A5 (https=)
JP7027601B2 (ja) ロボット制御装置、ロボット制御方法及びロボット
US11893867B2 (en) Monitoring system and unmanned ground vehicle
JP6751501B2 (ja) 監視システム
CN109634271A (zh) 一种室内移动服务机器人及其控制方法
JP6390015B2 (ja) 生体探索システム
CN112130588B (zh) 一种搜寻目标人物的方法、车载终端及无人机
US12079319B2 (en) Person specifying device, person specifying method, and recording medium
JP2020050099A (ja) 飛行ロボットおよび監視システム
US12271203B2 (en) Search system, search method, and storage medium
JP7073729B2 (ja) 撮影システム
HK1260690A1 (en) Living body search system
JP2019139642A (ja) 位置検出装置、位置検出システム、及び位置検出方法
JP2024011131A (ja) 忘れ物通知装置および忘れ物通知方法
CN118164193A (zh) 一种行李派送机器人、行李派送、提取方法、系统及介质

Legal Events

Date Code Title Description
NENP Non-entry into the national phase

Ref country code: DE

121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 17762935

Country of ref document: EP

Kind code of ref document: A1

32PN Ep: public notification in the ep bulletin as address of the adressee cannot be established

Free format text: NOTING OF LOSS OF RIGHTS PURSUANT TO RULE 112(1) EPC (EPO FORM 1205A DATED 14/12/2018)

122 Ep: pct application non-entry in european phase

Ref document number: 17762935

Country of ref document: EP

Kind code of ref document: A1