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. This information processing system includes: a correspondence relationship estimation unit for determining a scale indicating a possibility that one or more persons appearing in pictures captured respectively at a first time by a plurality of video cameras, and one or more persons appearing in pictures captured respectively at a second time, which is later than the first time, by the plurality of video cameras, are respectively associated with each other, and estimating a correspondence relationship between the person appearing at the first time and the person appearing at the second time in consideration of all scales relating to at least one person appearing at one of the first time and the second time, and all persons appearing at the other time; and a person-to-be-tracked registration unit for receiving an input of correspondence information to the effect that at least a part of one or more persons captured at the first time corresponds, or does not correspond, with at least a part of one or more persons captured at the second time.
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:
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 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 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 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 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:
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:
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 similarity computation unit (130) derives a first probability P indicating that a first moving body appearing in the first video is the same as a second moving body appearing in the second video on the basis of similarity of feature value of the moving bodies. A non-appearance probability computation unit (140) derives a second probability Q indicating that the first moving body is not the same as the second moving body on the basis of an elapsed time after the first moving body exits from the first video. A person determination unit (150) determines whether the first moving body is the same as the second moving body by comparing the probability P and Q.