Computer Science – Social and Information Networks
Scientific paper
2012-04-16
Computer Science
Social and Information Networks
Presented at Collective Intelligence conference, 2012 (arXiv:1204.2991)
Scientific paper
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.
Bregler Christoph
Huston Thomas
Spiro Ian
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