Abstract: Provided is a technique for enhancing operability of a mobile apparatus. An information processing apparatus (2000) includes a first processing unit (2020), a second processing unit (2040), and a control unit (2060). The first processing unit (2020) generates information indicating an event detection position in accordance with a position on a surveillance image set in a first operation. The first operation is an operation with respect to the surveillance image displayed on a display screen. The second processing unit (2040) performs a display change process with respect to the surveillance image or a window including the surveillance image. The control unit (2060) causes any one of the first processing unit (2020) and the second processing unit (2040) to process the first operation on the basis of a second operation.

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: Provided is a technique for enhancing operability of a mobile apparatus. An information processing apparatus (2000) includes a first processing unit (2020), a second processing unit (2040), and a control unit (2060). The first processing unit (2020) generates information indicating an event detection position in accordance with a position on a surveillance image set in a first operation. The first operation is an operation with respect to the surveillance image displayed on a display screen. The second processing unit (2040) performs a display change process with respect to the surveillance image or a window including the surveillance image. The control unit (2060) causes any one of the first processing unit (2020) and the second processing unit (2040) to process the first operation on the basis of a second operation.

Abstract: A detection system which detects a mobile object includes: an image input unit for receiving an input of a plurality of image frames having different capturing times; an inter-background model distance calculation unit for calculating differences between a first background model generated based on an image frame at the time of processing, a second background model in which an influence of an image frame at the time of processing is smaller than that of the first background model, and a third background model in which an influence of an image frame at the time of processing is smaller than that of the second background model; and a mobile object detection unit for detecting a first region in an image frame.

Abstract: Provided are an image processing system, an image processing method, and a program capable of suitably performing the association of a person appearing in a picture in accordance with a highly reliable user input. This image processing system includes: an input unit for receiving an input of pictures captured by multiple video cameras; a person-to-be-tracked registration unit capable of registering one or more persons appearing in the pictures input from the input unit; a moving image display unit for displaying, on a display device, the pictures input by the input unit, and a UI generation unit capable of registering that the person appearing in the displayed pictures and the person registered by the person-to-be-tracked registration unit are the same person, or not the same person.

Abstract: A monitoring device includes a crowd behavior analysis unit 21 and an abnormality degree calculation unit 24. The crowd behavior analysis unit 21 specifies a behavior pattern of a crowd from input video. The abnormality degree calculation unit 24 calculates an abnormality degree from a change of the behavior pattern.

Abstract: Tracking candidate storage means 81 stores a plurality of candidates for one or more objects to be tracked. Control means 82 controls a likelihood of each of the plurality of candidates. The tracking candidate storage means 81 stores, for each of the plurality of candidates, label information identifying which object the candidate corresponds to, position information indicating a position of the object, and a likelihood. The control means 82 controls the likelihood of a candidate, according to the label information of one or more other candidates around the candidate determined based on the position information of the candidate.

Abstract: Provided is a technique for enhancing operability of a mobile apparatus. An information processing apparatus (2000) includes a first processing unit (2020), a second processing unit (2040), and a control unit (2060). The first processing unit (2020) generates information indicating an event detection position in accordance with a position on a surveillance image set in a first operation. The first operation is an operation with respect to the surveillance image displayed on a display screen. The second processing unit (2040) performs a display change process with respect to the surveillance image or a window including the surveillance image. The control unit (2060) causes any one of the first processing unit (2020) and the second processing unit (2040) to process the first operation on the basis of a second operation.

Abstract: Provided is a technology which enables early removal from a tracking target of an object unnecessary to be tracked and which, together therewith, when the tracking target is temporarily in a state of being not detected, enables continuous tracking of the relevant tracking target without removing it from the tracking target. A detection unit 2 detects, as a tracking candidate, an object included in an image by using image processing. A corresponding degree calculation unit 3 calculates a corresponding degree which is index representing a probability that the detected tracking candidate corresponds to the tracking target registered as an object to be tracked. When having determined that it is unnecessary to track the tracking target based on an evaluation value calculated by using the corresponding degree, a decision unit 4 deletes the registration of the object to be tracked with respect to the relevant tracking target.

Abstract: [Problem] To provide a motion condition estimation device, a motion condition estimation method and a motion condition estimation program capable of accurately estimating the motion condition of monitored subjects even in a crowded environment. [Solution] A motion condition estimation device according to the present invention is provided with a quantity estimating means 81 and a motion condition estimating means 82. The quantity estimating means 81 uses a plurality of chronologically consecutive images to estimate a quantity of monitored subjects for each local region in each image. The motion condition estimating means 82 estimates the motion condition of the monitored subjects from chronological changes in the quantities estimated in each local region.

Abstract: First imaging means 60 creates a state image by capturing a state occurring in a first range. Second imaging means 70 creates a monitoring target image by capturing a monitoring target present in a second range. Specific state detection means 81 detects a specific state from the state image. Monitoring target analysis means 82 analyzes a status of a monitoring target, using the state image from which the specific state is detected. Monitoring target feature extraction means 85 extracts, from the monitoring target image, a feature used for specifying the monitoring target, based on the status of the monitoring target.

Abstract: An action analysis device includes: an acoustic analysis unit 1 for analyzing input acoustic information, and generating acoustic analysis information indicating a feature of the acoustic information; a time difference determination unit 2 for determining a time difference between when an acoustic event identified by the acoustic analysis information occurs and when an event corresponding to the acoustic event occurs in input video obtained by capturing an image of a crowd; and an action analysis unit 3 for analyzing an action of the crowd corresponding to the acoustic event, using the input video, the acoustic analysis information, and the time difference.

Abstract: An object tracking device, method and non-transitory computer-readable storage medium are disclosed.

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: Provided is an image processing system, an image processing method, and a program for preferably detecting a mobile object. The image processing system includes: an image input unit for receiving an input for some image frames having different times in a plurality of image frames constituting a picture, which is of a pixel on which the mobile object appears or a pixel on which the mobile object does not appear, for selected arbitrary one or more pixels in an image frame at the time of processing; and a mobile object detection model constructing unit for learning a parameter for detecting the mobile object based on the input.

Abstract: A detection system which detects a mobile object includes: an image input unit for receiving an input of a plurality of image frames having different capturing times; an inter-background model distance calculation unit for calculating differences between a first background model generated based on an image frame at the time of processing, a second background model in which an influence of an image frame at the time of processing is smaller than that of the first background model, and a third background model in which an influence of an image frame at the time of processing is smaller than that of the second background model; and a mobile object detection unit for detecting a first region in an image frame.

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: 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 system may include a memory storing instructions and one or more processors configured to execute the instructions to receive inputs of pictures imaged by a plurality of imaging apparatuses. The system may detect a moving body appearing in an inputted picture imaged by a first imaging apparatus among the plurality of imaging apparatuses. The system may predict a time period in which the moving body will appear in a picture imaged by a second imaging apparatus among the plurality of imaging apparatuses, based on a calculated probability that the moving body will appear in the picture imaged by the second imaging apparatus and an elapsed time after the moving body leaves an imaging range. The system may notify the predicted time period in which the moving body is predicted to appear in the picture imaged by the second imaging apparatus.

Abstract: Provided are an information processing system, an information processing method, and a program capable of favorably estimating the association between persons appearing in pictures.