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Markerless motion capture in the crowd.
| Content Provider | CiteSeerX |
|---|---|
| Author | Spiro, Ian Huston, Thomas Bregler, Christoph |
| Abstract | This work uses crowdsourcing to obtain motion capture data from video recordings. The data is obtained by information workers who click repeatedly to indicate body configurations in the frames of a video, resulting in a model of 2D structure over time. We discuss techniques to optimize the tracking task and strategies for maximizing accuracy and efficiency. We show visualizations of a variety of motions captured with our pipeline then apply reconstruction techniques to derive 3D structure. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Markerless Motion Capture Crowd Information Worker Video Recording Reconstruction Technique Motion Capture Data Body Configuration Tracking Task |
| Content Type | Text |