Abstract: An information processing apparatus (2000) includes a detection unit (2020), a state estimation unit (2040), and a height estimation unit (2080). The detection unit (2020) detects a target person from a video frame. The state estimation unit (2040) estimates a state of the detected target person. The height estimation unit (2080) estimates a height of the person on the basis of a height of the target person in the video frame in a case where the estimated state satisfies a predetermined condition.

Abstract: An information processing apparatus detects an object queue from a video frame and generates tracking information indicating a position of each tracking target object, where each object included in the object queue is the tracking target object. The information processing apparatus generates queue behavior information related to a behavior of the object queue at a first time point using the tracking information at the first time point. The information processing apparatus computes an estimated position of each tracking target object at a second time point later than the first time point based on the tracking information and the queue behavior information at the first time point. The information processing apparatus updates the tracking information based on the position of each object detected from the video frame at the second time point and the estimated position of each tracking target object at the second time point.

Abstract: A surveillance system (1) includes an area information acquisition unit (101), a request information provision unit (102), and a participation consent reception unit (103). The area information acquisition unit (101) acquires information of a surveillance-desired area. The request information provision unit (102) provides participation request information for surveillance that is conducted by using an image capturing unit of a portable terminal in the surveillance-desired area. The participation consent reception unit (103) receives participation consent as a response to the participation request information, from the portable terminal.

Abstract: An information processing device according to the present invention includes: a storage means that stores reference attribute information representing an attribute of a person corresponding to a target place; an extraction means that extracts person attribute information representing an attribute of a person in a captured image obtained by capturing an image of the target place; and a detection means that detects a predetermined person in the captured image based on the reference attribute information and the person attribute information.

Abstract: An information processing apparatus (2000) detects a stationary object from video data (12). In addition, the information processing apparatus (2000) executes person detection process of detecting a person in vicinity of an object (target object) detected as the stationary object for each of a plurality of video frames (14) which includes the target object.

Abstract: A video surveillance system includes: a detection unit that detects a predetermined event on the basis of an image captured by a first imaging apparatus; and a control unit that controls a second imaging apparatus such that the second imaging apparatus captures an image of a predetermined position after the detection of the predetermined event.

Abstract: A parameter calculation unit calculates, for camera layout information of the camera placed in the monitored area and environmental object information representing an environmental object including a structural object present in the monitored area and a placed object placed in the structural object, an image processing performance parameter indicating at least one of a hiding level of an object, an orientation of the object, and a movement of the object based on characteristic information representing characteristics of an appearance and a movement of the object determined depending on an environmental object. A suitability calculation unit calculates camera layout suitability based on image processing characteristic information representing a characteristic of the image processing and the image processing performance parameter, the camera layout suitability being an index of a level of suitability of a camera layout represented by the camera layout information for image processing of the object.

Abstract: A surveillance system (1) includes an area information acquisition unit (101), a position information acquisition unit (102), a candidate determination unit (103), and a notification unit (104). The area information acquisition unit (101) acquires information of a surveillance-desired area. The position information acquisition unit (102) acquires pieces of position information of a plurality of portable terminals (20), each portable terminal performing surveillance using an image capturing unit. The candidate determination unit (103) determines a candidate portable terminal (20) to be moved to the surveillance-desired area from among the plurality of portable terminals (20) based on the acquired pieces of position information of the plurality of portable terminals (20). The notification unit (104) outputs a notification to the candidate portable terminal requesting to move to the surveillance-desired area.

Abstract: An information processing apparatus (10) includes a time and space information acquisition unit (110) that acquires high-risk time and space information indicating a spatial region with an increased possibility of an accident occurring or of a crime being committed and a corresponding time slot, a possible surveillance target acquisition unit (120) that identifies a video to be analyzed from among a plurality of videos generated by capturing an image of each of a plurality of places, on the basis of the high-risk time and space information, and analyzes the identified video to acquire information of a possible surveillance target, and a target time and space identification unit (130) that identifies at least one of a spatial region where surveillance is to be conducted which is at least a portion of the spatial region or a time slot when surveillance is to be conducted, from among the spatial region and the time slot indicated by the high-risk time and space information, on the basis of the information of the

Abstract: A video surveillance system includes: a detection unit that detects a predetermined event on the basis of an image captured by a first imaging apparatus; and a control unit that controls a second imaging apparatus such that the second imaging apparatus captures an image of a predetermined position after the detection of the predetermined event.

Abstract: An information processing apparatus (2000) includes a first analyzing unit (2020), a second analyzing unit (2040), and an estimating unit (2060). The first analyzing unit (2020) calculates a flow of a crowd in a capturing range of a fixed camera (10) using a first surveillance image (12). The second analyzing unit (2040) calculates a distribution of an attribute of objects in a capturing range of a moving camera (20) using a second surveillance image (22). The estimating unit (2060) estimates an attribute distribution for a range that is not included in the capturing range of the moving camera (20).

Abstract: An information processing apparatus (2000) includes a first analyzing unit (2020), a second analyzing unit (2040), and an estimating unit (2060). The first analyzing unit (2020) calculates a flow of a crowd in a capturing range of a fixed camera (10) using a first surveillance image (12). The second analyzing unit (2040) calculates a distribution of an attribute of objects in a capturing range of a moving camera (20) using a second surveillance image (22). The estimating unit (2060) estimates an attribute distribution for a range that is not included in the capturing range of the moving camera (20).

Abstract: A guidance processing apparatus (100) includes an information acquisition unit (101) that acquires a plurality of different pieces of guidance information on the basis of states of a plurality of people within one or more images, and a control unit (102) that performs control of a plurality of target devices present in different spaces or time division control of a target device so as to set a plurality of different states corresponding to the plurality of pieces of guidance information.

Abstract: An information processing apparatus (2000) detects a stationary object from video data (12). In addition, the information processing apparatus (2000) executes person detection process of detecting a person in vicinity of an object (target object) detected as the stationary object for each of a plurality of video frames (14) which includes the target object. Furthermore, the information processing apparatus (2000) executes a predetermined process by comparing results of the person detection process for each of the plurality of video frames (14).

Abstract: An information processing apparatus (2000) includes a first analyzing unit (2020), a second analyzing unit (2040), and an estimating unit (2060). The first analyzing unit (2020) calculates a flow of a crowd in a capturing range of a fixed camera (10) using a first surveillance image (12). The second analyzing unit (2040) calculates a distribution of an attribute of objects in a capturing range of a moving camera (20) using a second surveillance image (22). The estimating unit (2060) estimates an attribute distribution for a range that is not included in the capturing range of the moving camera (20).

Abstract: A guidance processing apparatus (100) includes an information acquisition unit (101) that acquires a plurality of different pieces of guidance information on the basis of states of a plurality of people within one or more images, and a control unit (102) that performs control of a plurality of target devices present in different spaces or time division control of a target device so as to set a plurality of different states corresponding to the plurality of pieces of guidance information.

Abstract: A surveillance system (1) includes an area information acquisition unit (101), a position information acquisition unit (102), a candidate determination unit (103), and a notification unit (104). The area information acquisition unit (101) acquires information of a surveillance-desired area. The position information acquisition unit (102) acquires pieces of position information of a plurality of portable terminals (20), each portable terminal performing surveillance using an image capturing unit. The candidate determination unit (103) determines a candidate portable terminal (20) to be moved to the surveillance-desired area from among the plurality of portable terminals (20) based on the acquired pieces of position information of the plurality of portable terminals (20). The notification unit (104) outputs a notification to the candidate portable terminal requesting to move to the surveillance-desired area.

Abstract: An information processing apparatus (2100) detects a left-behind object from video data (12). In addition, the information processing apparatus (2100) estimates a time-point at which the left-behind object is left behind. Furthermore, the information processing apparatus (2100) acquires video data near an estimated left-behind time-point (estimated left-behind time-point), controls the acquired video data based on the estimated left-behind time-point, and then presents at least a part of the acquired video data to a user.

Abstract: An object tracking apparatus, method and computer-readable medium for detecting an object from output information of sensors, tracking the object on a basis of a plurality of detection results, generating tracking information of the object represented in a common coordinate system, outputting the tracking information, and detecting the object on a basis of the tracking information.

Abstract: An evaluation apparatus (10) includes an acquisition unit (110), an index computation unit (120), and a suitability computation unit (140). The acquisition unit (110) acquires arrangement information and environmental information. The arrangement information indicates at least any of position, orientation and field angle of an image capturing apparatus. The environmental information indicates an environment of a target region. The index computation unit (120) computes a surveillance index by using the arrangement information and the environmental information, the surveillance index indicating difficulty or easiness of surveilling a target object. The suitability computation unit (140) computes suitability of arrangement of the image capturing apparatus indicated by the arrangement information, based on the distribution of the surveillance index in the target region.