Panasonic I-pro Sensing Solutions Co., Ltd.

Panasonic Intellectual Property Management Co., Ltd.

I-pro Co., Ltd.

Takamitsu Arai

Takahiro Yoshimura

Yuumi Miyake

Mikio Morioka

Hideyuki Yoshida

So Suzuki

Takashi Kamio

Masao Watanabe

Takao Koishi

Masaomi Iiizumi

Toshihiko Yamahata

Takeshi Wakako

Hideaki Takahashi

Koji Kawamoto

Manabu Nakamura

Eisaku Miyata

Hidetoshi Kinoshita

Marie Kanda

Ryo Kubota

Kazuya Ozawa

Atsuharu Yamamoto

Kazuma Ohtani

Takeshi Shimada

Masaomi Iizumi

Junko Nakano

Shuuji Kawazoe

A server analyzes feature information including a whole body and a face of a person reflected in a video image sent from a monitoring camera and store a whole body image obtained by cutting out the whole body of the person and a face image obtained by cutting out the face of the person. In response to designation of a person of interest, the server executes first collation processing targeted for the whole body image of the person of interest and second collation processing targeted for the face image of the person of interest. Also, in response to identification of a person matching at least one of the whole body image and the face image of the person of interest by at least one of the first collation processing and the second collation processing, the server outputs a notification that the person of interest is found.

Person monitoring system and person monitoring method

When captured videos transmitted from n units of cameras are received, a server analyzes position information and characteristic information on a person appearing in each of captured videos as analysis results. A client terminal displays, on a screen, each of a k number of captured videos that are selected by a user operation. According to a selection of a search target person, the client terminal transmits, to the server, a search request for the search target person in a (k&#x2212;1) number of captured videos other than the captured video in which the search target person appears. The server extracts the search target person and transmits the analysis result to the client terminal. The client terminal displays cut-out images of one or more persons identical with or similar to the search target person based on the analysis result.

Person search system and person search method

A surveillance camera includes an imaging unit configured to output a video frame, and a control unit configured to set a search range in the video frame and to extract a tracking-target image by using a feature quantity of an image in the search range. In a case where an object image other than the tracking target is contained in the search range, the control unit masks a feature quantity of the object image and extracts the tracking-target image.

Surveillance camera and information processing apparatus

A monitoring camera having artificial intelligence includes an imaging unit, a communication unit that receives a parameter relating to a detection target from a terminal device, and a processing unit that constructs the artificial intelligence based on the parameter, and uses the constructed artificial intelligence to detect the detection target from an image captured by the imaging unit.

Monitoring camera and detection method

A server analyzes feature information including a whole body and a face of a person reflected in each of video images from a plurality of monitoring cameras and stores a whole body image and a face image as an analysis result. In response to designation of the whole body image and the face image of a person of interest, a client terminal sends a request for execution of each of first collation processing and second collation processing to the server. When a person matching at least one of the whole body image and the face image of the person of interest is specified by at least one of the first collation processing and the second collation processing, the server sends an alarm notification to the client terminal that the person of interest is found to the client terminal.

When captured videos transmitted from a n number of cameras are received, a server analyzes position information and characteristic information on a person appearing in each of captured videos as analysis results. A client terminal displays, on a screen, each of the captured videos of a k number of cameras that are selected by a user operation. According to a selection of a search target person, the client terminal transmits, to the server, a search request for the search target person in a (k&#x2212;1) number of captured videos other than the captured video in which the search target person appears. The server extracts the search target person and transmits the analysis result to the client terminal. The client terminal displays cut-out images of one or more persons identical with or similar to the search target person based on the analysis result.

Systems and methods for displaying captured videos of persons similar to a search target person

A security system includes a camera that captures an image of a monitoring area, a recorder that stores the captured image which is captured by the camera, a sensor that detects a matter in the monitoring area, a video monitoring and display device that causes a monitor to display the captured image of the monitoring area from the camera or the recorder, and a BLE reception device that detects a signal from a BLE transmission terminal which is installed or maintained by a guard who patrols the monitoring area. In a case where the matter is detected in the monitoring area, the video monitoring and display device extracts the captured images of the suspect or the guard, chronologically arranges the captured images, and displays the captured images on the monitor. Furthermore, in a case where the video monitoring and display device displays the captured images of the guard, the video monitoring and display device also displays positional information of the BLE transmission terminal in association with the captured images of the guard.

Security system and method for displaying images of people

An investigation assist device includes a processor and a storage that records information on a road map including a plurality of intersections and captured videos of a plurality of cameras respectively in correlation with a capturing time, camera information, and intersection information. The processor retrieves a vehicle satisfying a retrieval condition based on a captured video of the camera specified by camera information corresponding to designated intersection information specifying at least one intersection of the plurality of intersections. The processor superimposes a traveling direction of a selected vehicle at the time of passing through an intersection corresponding to the designated intersection information on a position of the intersection on the road map in response to selection of the information on the vehicle.

Investigation assist system and investigation assist method

An investigation assist device includes a processor and a storage that records information on a road map including a plurality of intersections and captured videos of a plurality of cameras in correlation with a capturing time, camera information, and intersection information. The processor retrieves at least one vehicle satisfying a retrieval condition and extracts a traveling direction of the vehicle when passing through each of the plurality of intersections based on the captured videos of the plurality of cameras in response to a designation of the retrieval condition including information on time when an incident occurs and feature information on a vehicle causing the incident. The processor superimposes a traveling route of the vehicle on the road map based on the traveling direction extracted for each of the intersections and outputs the traveling route to an output unit.

A camera transmits a captured image of a surveillance area to a server. A microphone receives a sound of the surveillance area and transmits the sound to the server. The server detects a warning sound starting based on a harming behavior on a vehicle in a surveillance area and arriving from the vehicle using the sound of the surveillance area, determines an occurrence position of the harming behavior based on the detection of the warning sound, acquires a captured image of the occurrence position, determines the vehicle on which the harming behavior is executed using the captured image of the occurrence position, acquires information regarding the vehicle, and records the information regarding the vehicle and the captured image of the occurrence position in association with each other in an accumulator.

Surveillance camera system and surveillance method

An investigation assist device includes a processor and a storage that records road map information including a plurality of intersections and captured video of each of the cameras in association with camera information and intersection information. The processor retrieves a vehicle based on the captured video of each of the cameras installed at one or more intersections within a predetermined distance range from the intersection where the event has occurred, based on input information including date and time information when the event has occurred, the intersection information where the event has occurred, and feature information of the vehicle having caused the event. The processor updates detection date and time information of the vehicle from reception date and time information on a report indicating an occurrence of the event to detection date and time information of the vehicle.

Investigation assist device, investigation assist method and investigation assist system

An investigation assist device is connected to cameras installed at a plurality of intersections respectively. The investigation assist device has a processor and a storage that records road map information including the plurality of intersections and captured video of each camera in association with camera information and intersection information. The processor extracts camera information of intersections adjacent to a first point where an event occurred according to an information input including information on the first point and feature information of a vehicle having caused the event. The processor retrieves a vehicle satisfying the feature information of the vehicle using a captured video of a camera specified by the extracted camera information. The processor analyzes feature information of the retrieved vehicle. The processor updates feature information of the vehicle by adding the analyzed feature information of the vehicle to the feature information of the vehicle input by the information input, and stores the updated information in the storage. The processor updates detection point information of the vehicle from the information on the first point into detection point information of the retrieved vehicle, and stores the updated information in the storage.

An investigation assist system includes an investigation assist device that acquires captured video of cameras installed at a plurality of intersections respectively; and an operator terminal that is connected to the investigation assist device so as to communicate with the investigation assist device. The investigation assist device detects an occurrence of an event at a first point based on the acquired captured video of the camera, and transmits the captured video of the camera to the operator terminal, the captured video being acquired at a time when the event is detected. The operator terminal records the captured video of the camera transmitted from the investigation assist device, and transmits report contents information based on the report indicating the occurrence of the event to the investigation assist device. The investigation assist device extracts a captured video satisfying the report contents information transmitted from the operator terminal, and transmits the extracted video to the investigation assist device. The operator terminal displays the captured video transmitted from the investigation assist device on the display.

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Fukuoka, Japan

Takamitsu Arai