Abstract: To identify and track a plurality of objects. An object tracking device 1 includes a frame acquisition unit 31 for acquiring one set of frame data 11 included in moving image data that captures a space where a plurality of objects are present; a distance acquisition unit 32 for acquiring measurement data 12 from measurement of three-dimensional coordinates of points configuring the objects in the space where the objects are present; an object position detection unit 33 for detecting a two-dimensional position of each of the objects from the frame data 11 on the basis of comparison with template data of each of the objects; an object distance detection unit 34 for detecting a plurality of three-dimensional positions of the objects from the measurement data 12; and an associating unit 35 for associating each two-dimensional position from the object position detection unit 33 with the nearest three-dimensional position among the three-dimensional positions from the object distance detection unit 34.

Abstract: There is provided an object tracking apparatus that realizes robust object detection and tracking even for movement fluctuation and observation noise, an object tracking method and a computer program. An object cracking apparatus 1 is an apparatus tracking an object in video, the object tracking apparatus 1 including: a deep learning discriminator 2 which is a discriminator by deep learning; and a particle filter function unit 3 tracking an object by applying a multi-channel feature value of video including feature values by the deep learning discriminator 2 to likelihood evaluation by a particle filter, according to a distance between position information about the multi-channel feature value and position information about each particle.

Abstract: To identify and track a plurality of objects. An object tracking device 1 includes a frame acquisition unit 31 for acquiring one set of frame data 11 included in moving image data that captures a space where a plurality of objects are present; a distance acquisition unit 32 for acquiring measurement data 12 from measurement of three-dimensional coordinates of points configuring the objects in the space where the objects are present; an object position detection unit 33 for detecting a two-dimensional position of each of the objects from the frame data 11 on the basis of comparison with template data of each of the objects; an object distance detection unit 34 for detecting a plurality of three-dimensional positions of the objects from the measurement data 12; and an associating unit 35 for associating each two-dimensional position from the object position detection unit 33 with the nearest three-dimensional position among the three-dimensional positions from the object distance detection unit 34.

Abstract: There is provided an object tracking apparatus that realizes robust object detection and tracking even for movement fluctuation and observation noise, an object tracking method and a computer program. An object cracking apparatus 1 is an apparatus tracking an object in video, the object tracking apparatus 1 including: a deep learning discriminator 2 which is a discriminator by deep learning; and a particle filter function unit 3 tracking an object by applying a multi-channel feature value of video including feature values by the deep learning discriminator 2 to likelihood evaluation by a particle filter, according to a distance between position information about the multi-channel feature value and position information about each particle.

Abstract: A content display device includes a content acquisition unit configured to acquire content data including a script, a storage unit configured to expand the content data into tree-structure data and store the tree-structure data, a determination unit configured to determine from the tree-structure data a sub-tree corresponding to a portion of the digital content to be displayed by each of the plurality of child browsers, and transmit the sub-tree to the corresponding child browser, an execution unit configured to execute the script, and an access unit configured to, when the execution unit executes a process to access the tree-structure data, notify the child browser holding a sub-tree to be accessed of the process and cause the child browser to execute a process, and configured to, when an occurrence notice of an event is received from the child browser, cause the execution unit to execute a process corresponding to the event.

Abstract: A content display device includes a content acquisition unit configured to acquire content data including a script, a storage unit configured to expand the content data into tree-structure data and store the tree-structure data, a determination unit configured to determine from the tree-structure data a sub-tree corresponding to a portion of the digital content to be displayed by each of the plurality of child browsers, and transmit the sub-tree to the corresponding child browser, an execution unit configured to execute the script, and an access unit configured to, when the execution unit executes a process to access the tree-structure data, notify the child browser holding a sub-tree to be accessed of the process and cause the child browser to execute a process, and configured to, when an occurrence notice of an event is received from the child browser, cause the execution unit to execute a process corresponding to the event.