Motion Capture from Movies
نویسنده
چکیده
Video is the primary archival source for human movement, with examples ranging from sports coverage of Olympic events to dance routines in Hollywood movies. The ability to reliably track the human figure in movie footage would unlock a large, untapped repository of motion data. Figure tracking using a single video source is a challenging problem due to the size of the state space, the presence of background clutter, and the loss of 3-D information. This paper describes recent progress on a framework for figure registration (2-D tracking). We present new results in video editing and 3-D motion estimation. Figure Tracking, Motion Estimation, Motion Capture, Video Editing
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