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) 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: [Problem] To provide an information processing system, an information processing method, and a program capable of suitably tracking a moving object even when there is variation in the speed of the moving object to be tracked. [Solution] Provided are: a video acquisition unit (201) for accepting input of a video taken by a plurality of photographing devices; a reference object selection unit (207) for selecting, from among moving objects seen in the video taken by a first photographing device among the plurality of photographing devices, another moving object different from the moving object to be tracked and seen in the video taken by the first photographing device; and a target object appearance prediction unit (213) for predicting, based on whether the other moving object appeared in the video taken by a second photographing device among the plurality of photographing devices, a time of day at which the moving object to be tracked will appear.

Abstract: A position and pose determination unit (103) is configured to determine a position and an pose of the video acquisition unit (110) in such a way that a level of hiding caused by overlapping of objects becomes low based on environmental object information indicating an environmental object including a structural object present in the monitored area and a placed object placed in the structural object, and staying characteristic information indicating a staying characteristic of the object determined depending on the environmental object. The analysis and display unit (111) is configured to perform at least one of analyzing a video captured by the video acquisition unit (103) at the position and the pose determined by the position and pose determination unit (110) and displaying the video.

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 object tracking device includes a location information acquisition means configured to acquire location information of an object detected by a sensor, a sensor speed acquisition means configured to acquire speed information of the sensor, a parameter control means configured to generate parameter control information including information for controlling a parameter for use in a tracking process of the object on the basis of the speed information acquired by the sensor speed acquisition means, and an object tracking means configured to perform the tracking process using the parameter control information generated by the parameter control means and the location information acquired by the location information acquisition means.

Abstract: A trajectory linking apparatus capable of linking a trajectory having a feature value with a trajectory having no feature value is provided. The trajectory linking apparatus includes a feature-including trajectory linking unit and an interpolation unit. The feature-including trajectory linking unit receives trajectory information for each time segment. The trajectory information represents a plurality of trajectories indicating respective movement paths of a plurality of objects detected from image data of a respective time segment, and also indicating whether or not each of the trajectories has a feature for object re-identification. The feature-including trajectory linking unit generates a linked trajectory having a feature by linking a first trajectory having a feature with a second trajectory. The interpolation unit generates an interpolated trajectory by linking a third trajectory to the first and second trajectories.

Abstract: Provided is an image processing apparatus (2000) including an index value calculation unit (2020) and a presentation unit (2040). The index value calculation unit (2020) acquires a plurality of images captured by a camera (3000) (captured images), and calculates an index value indicating the degree of change in the state of a monitoring target in the captured image, using the acquired captured image. The presentation unit (2040) presents an indication based on the index value calculated by the index value calculation unit (2020) on the captured image captured by the camera (3000).

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.

Abstract: In order to extract a feature suitable for comparison, the information processing device according to the present invention comprises: a prediction unit which, on the basis of the positional relationship between a plurality of objects detected and tracked in an input video and on the basis of the overlap between the plurality of objects, predicts the qualities of features extracted from the objects; a selection unit which selects, from among the plurality of objects, only those objects or that object for which the qualities of features predicted by the prediction unit satisfy a prescribed condition; and a feature extraction unit which extracts features from the objects or the object selected by the selection unit.

Abstract: A position and pose determination unit (103) is configured to determine a position and an pose of the video acquisition unit (110) in such a way that a level of hiding caused by overlapping of objects becomes low based on environmental object information indicating an environmental object including a structural object present in the monitored area and a placed object placed in the structural object, and staying characteristic information indicating a staying characteristic of the object determined depending on the environmental object. The analysis and display unit (111) is configured to perform at least one of analyzing a video captured by the video acquisition unit (103) at the position and the pose determined by the position and pose determination unit (110) and displaying the video.

Abstract: A state acquisition unit (2020) acquires a state of a monitoring target in a captured image captured by a camera (3040). A monitoring point acquisition unit (2040) acquires, from a monitoring point information storage unit (3020), a monitoring point corresponding to the state of the monitoring target acquired by the state acquisition unit (2020). The monitoring point indicates a position to be monitored in the captured image. A presentation unit (2060) presents the monitoring point on the captured image.

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: A vehicle speed acquiring unit acquires a vehicle speed. A moving range calculating unit calculates, based on the vehicle speed, a pre-stop moving range within which the vehicle may cover before coming to a stop. A sensor information acquiring unit acquires object detection information indicating a detected object, detected by a sensor, in the surroundings of the vehicle. An image superposing unit superposes the pre-stop moving range and the position of the detected object included in the object detection information on top of each other on a screen. In addition, the image superposing unit generates a superposed image that displays the position of a detected object estimated, based on position information of the detected object included in the object detection information, to have a possibility of overlapping the pre-stop moving range, more saliently than the positions of other detected objects. An image presenting unit presents the generated superposed image.

Abstract: A monitoring device and the like are provided which are capable of detecting an attribute change in a suspicious object that cannot be determined from the behavior of the object. An associating unit associates, among a plurality of objects detected from time-series image data, identical objects with one another. An attribute change detecting unit detects from the time-series image data a change in an attribute of at least one of the identical objects and an attendant item. A suspicious object detecting unit detects a suspicious object on the basis of the change in attribute.

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: In order to minimize the impact of a delay (if any) that occurs when a process for detecting an object from a video takes time, and thereby achieve accurate tracking, the object detection/tracking device according to the present invention is provided with: an acquisition unit which acquires a video; a tracking unit which tracks an object in the video; a detection unit which detects an object in the video; an association unit which associates the same objects that have been detected and tracked in the same image in the video; and a correction unit which corrects the position of the tracked object using the position of the detected object, from among the associated objects.

Abstract: According to an example embodiment, an object feature extraction device (100) includes a video acquisition means (101) for acquiring a video and generating the acquired video as an image sequence, an object detection means (102) for detecting an object from the generated image and generating a detection result, an object tracking means (103) for tracking the object based on the generated image and the detection result and generating a tracking result, an image storage means (107) for storing the image, a detection result storage means (108) for storing the detection result, a tracking result storage means (109) for storing the tracking result, an object selection means (105) for calculating, based on the detection result and the tracking result, a quality index for predicting the quality of a feature of the object detected at an extraction time, selecting the object to be subjected to feature extraction, and generating object selection information, and an object feature extraction means (106) for extracting t

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.

Abstract: To efficiency search for an object associated with a sensed event, an information processing apparatus includes a sensor that analyzes a captured video and senses whether a predetermined event has occurred, a determining unit that determines a type of an object to be used as query information based on a type of the event in response to sensing of the event occurrence, and a generator that detects the object of the determined type from the video and generates the query information based on the detected object.