Abstract: 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.

Abstract: 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?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.

Abstract: 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.

Abstract: 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?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.

Abstract: 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.

Abstract: 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?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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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?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.

Abstract: 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.

Abstract: 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.

Abstract: In an illumination system, a plurality of cameras and a plurality of illumination devices that are installed in a sidewalk where a person moves are connected to a control device through a network. Each of the plurality of cameras transmits detection information including a position and a movement direction of the person to the control device. The control device selects the illumination device that illuminates a front of the person in the movement direction of the person, from among the plurality of illumination devices, based on the detection information which is transmitted from each of the cameras, and further instructs the selected illumination device to light up.