Abstract: A crime prediction server accesses an SNS server, collects submission information, which includes crime-related terms, as crime-related information from the submission information of general citizens, calculates statistical data for each attribute, which includes an occurrence place, a crime occurrence hour, a crime type of a crime, for the crime-related information, and sends crime data and map data, which are extracted from the statistical data of the crime-related information, in response to a request from a center device. The center device superimposes the crime data on the map data for each attribute on a display, and plots and displays the crime data in a position corresponding to the crime occurrence place on a map.

Abstract: A crime prediction server accesses an SNS server, collects submission information, which includes crime-related terms, as crime-related information from the submission information of general citizens, calculates statistical data for each attribute, which includes an occurrence place, a crime occurrence hour, a crime type of a crime, for the crime-related information, and sends crime data and map data, which are extracted from the statistical data of the crime-related information, in response to a request from a center device. The center device superimposes the crime data on the map data for each attribute on a display, and plots and displays the crime data in a position corresponding to the crime occurrence place on a map.

Abstract: A crime prediction server accesses an SNS server, collects submission information, which includes crime-related terms, as crime-related information from the submission information of general citizens, calculates statistical data for each attribute, which includes an occurrence place, a crime occurrence hour, a crime type of a crime, for the crime-related information, and sends crime data and map data, which are extracted from the statistical data of the crime-related information, in response to a request from a center device. The center device superimposes the crime data on the map data for each attribute on a display, and plots and displays the crime data in a position corresponding to the crime occurrence place on a map.

Abstract: A monitoring video analysis system includes a wearable camera and a back end server that receives video data files of a captured video. The back end server detects an object appearing in frames constituting the received video data file, for each frame. The back end server stores a position of the object detected for each frame, for each object, as tracking information. The back end server displays the object detected for each frame, on monitor, by using identifiable solid-line border.

Abstract: A monitoring video analysis system includes a wearable camera that is held or possessed by a user, and a back end server that receives a captured video. The wearable camera records a captured video by capturing a video of a scene for each ten minutes. The back end server determines a face of a person appearing in n (n is an integer of two or more) captured videos by using a plurality of captured videos of the scene for each 10 minutes, and displays a thumbnail list UI in which the determined face of the person is registered, on a monitor.

Abstract: A wearable camera includes: a manipulator that receives operation by a user; a camera that picks up an image; a communicator that receives biological information on the user from a biosensor worn or owned by the user; and a controller that makes a transition from a vital reaction mode to a privacy mode in a case where the manipulator receives operation to specify the privacy mode, the vital reaction mode being a mode in which recording of the image picked-up by the camera is started when the biological information becomes abnormal, and the privacy mode being a mode in which image recording by the camera is not started even when the biological information becomes abnormal.

Abstract: A log generator generates log data including a processing time and processing contents, as data indicating a history of each of processes including input of video data recorded in a storage of a case video management system by a video input unit, image processing including a masking process to be performed on the video data by an image processor, and output of the video data by an encoder and a video output unit, at the time of performing processing for the video data, and records the log data in the case video management system in association with the processed video data.

Abstract: A wearable camera includes: a manipulator that receives operation by a user; a camera that picks up an image; a communicator that receives biological information on the user from a biosensor worn or owned by the user; and a controller that makes a transition from a vital reaction mode to a privacy mode in a case where the manipulator receives operation to specify the privacy mode, the vital reaction mode being a mode in which recording of the image picked-up by the camera is started when the biological information becomes abnormal, and the privacy mode being a mode in which image recording by the camera is not started even when the biological information becomes abnormal.

Abstract: A wearable camera connectable to a server includes: an acquirer that acquires positional information; a camera that picks up an image; a receiver that receives biological information on a user from a biosensor worn or owned by the user; a controller that generates abnormality detection information in a case where abnormality of the user is detected based on the biological information, the abnormality detection information including at least any of the positional information and the image picked-up by the camera; and a transmitter that transmits the abnormality detection information to a server.

Abstract: A content management server extracts an incident video and incident information corresponding to prescribed key information related to the incident information, and sends the extracted information to a center device. A center device superimposes video attribute information related to an incident video on map information based on positional information of an imaging place of the incident video included in the incident information in the incident video display screen, displays the video attribute information in the imaging place on the map of the map information, and reproduces and displays the incident video corresponding to the video attribute information in a case where a video reproduction instruction is given by a user.

Abstract: A content management server extracts an incident video and incident information corresponding to prescribed key information related to the incident information, and sends the extracted information to a center device. A center device superimposes video attribute information related to an incident video on map information based on positional information of an imaging place of the incident video included in the incident information in the incident video display screen, displays the video attribute information in the imaging place on the map of the map information, and reproduces and displays the incident video corresponding to the video attribute information in a case where a video reproduction instruction is given by a user.

Abstract: A log generator generates log data including a processing time and processing contents, as data indicating a history of each of processes including input of video data recorded in a storage of a case video management system by a video input unit, image processing including a masking process to be performed on the video data by an image processor, and output of the video data by an encoder and a video output unit, at the time of performing processing for the video data, and records the log data in the case video management system in association with the processed video data.

Abstract: A content management server extracts an incident video and incident information corresponding to prescribed key information related to the incident information, and sends the extracted information to a center device. A center device superimposes video attribute information related to an incident video on map information based on positional information of an imaging place of the incident video included in the incident information in the incident video display screen, displays the video attribute information in the imaging place on the map of the map information, and reproduces and displays the incident video corresponding to the video attribute information in a case where a video reproduction instruction is given by a user.

Abstract: A log generator generates log data including a processing time and processing contents, as data indicating a history of each of processes including input of video data recorded in a storage of a case video management system by a video input unit, image processing including a masking process to be performed on the video data by an image processor, and output of the video data by an encoder and a video output unit, at the time of performing processing for the video data, and records the log data in the case video management system in association with the processed video data.

Abstract: A video input unit inputs case video data to be processed, a face detector detects a face region of a person included in an image of video data, a target manager registers the face region as a region to be masked, an operation input inputs a user's instruction regarding the face region, a target manager excludes a region designated by the user's instruction from targets to be masked and registers the region as a region not to be masked, an image processor performs a masking process on the region to be masked, and a video output unit outputs video data having been subjected to image processing including the masking process.

Abstract: The present invention is a hydrogenated block copolymer [D] obtained by hydrogenating a block copolymer [C] that comprises two or more polymer blocks [A] and one or more polymer blocks [B], the block [A] comprising a monomer unit derived from an aromatic vinyl compound, and the block [B] comprising a monomer unit derived from a linear conjugated diene compound, the copolymer [D] having a low-temperature-side tan ? peak temperature of ?20 to 20° C. and a high-temperature-side tan ? peak temperature of 100° C.

Abstract: A monitoring video analysis system includes a wearable camera and a back end server that receives video data files of a captured video. The back end server detects an object appearing in frames constituting the received video data file, for each frame. The back end server stores a position of the object detected for each frame, for each object, as tracking information. The back end server displays the object detected for each frame, on monitor, by using identifiable solid-line border.

Abstract: A monitoring video analysis system includes a wearable camera that is held or possessed by a user, and a back end server that receives a captured video. The wearable camera records a captured video by capturing a video of a scene for each ten minutes. The back end server determines a face of a person appearing in n (n is an integer of two or more) captured videos by using a plurality of captured videos of the scene for each 10 minutes, and displays a thumbnail list UI in which the determined face of the person is registered, on a monitor.

Abstract: A crime prediction server accesses an SNS server, collects submission information, which includes crime-related terms, as crime-related information from the submission information of general citizens, calculates statistical data for each attribute, which includes an occurrence place, a crime occurrence hour, a crime type of a crime, for the crime-related information, and sends crime data and map data, which are extracted from the statistical data of the crime-related information, in response to a request from a center device. The center device superimposes the crime data on the map data for each attribute on a display, and plots and displays the crime data in a position corresponding to the crime occurrence place on a map.

Abstract: A police disposition server narrows down site terminals, which are positioned in the vicinity of a target place of an incident occurrence location, acquires terminal information, which includes positional information of the site terminal and police officer information bound to the site terminal, for the narrowed-down site terminals, and sends positional information of the police officer who is near to the incident occurrence location to a center device. The center device superimposes the positional information of the police officer on map information in the display, displays the target place and a position of the police officer on a map of the map information, sends direct rush request check to the site terminal of the police officer, and displays an acceptance message in a case where the acceptance message is received from the site terminal.