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A Data-Driven Approach for Real-Time Full Body Pose Reconstruction from a Depth Camera (ICCV 2011)

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Published on Aug 14, 2011

We present an efficient and robust pose estimation
framework for tracking full-body motions from a single depth image stream.
Following a data-driven hybrid strategy that combines local optimization
with global retrieval techniques, we contribute several technical improvements
that lead to speed-ups of an order of magnitude compared
to previous approaches. In this video we give a brief overview and show various experimental results.

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