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2003

A Parallel Framework for Silhouette-Based Human Motion Capture

10 years 4 months ago
A Parallel Framework for Silhouette-Based Human Motion Capture
This paper presents a method to capture human motion from silhouettes of a person in multi-view video streams. Applying a hierarchical kinematic body model motion parameters are estimated by optimizing the overlap between the projected model silhouettes and the input silhouettes. The energy function driving the optimization is computed very efficiently using off-the-shelf graphics hardware. Exploiting the hierarchical structure of the human body, energy function evaluation is greatly sped up and a distributed implementation becomes feasible. Therefore, we present an algorithm for parallel silhouette-based motion capture employing multiple PCs and GPUs.
Christian Theobalt, Joel Carranza, Marcus A. Magno
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 2003
Where VMV
Authors Christian Theobalt, Joel Carranza, Marcus A. Magnor, Hans-Peter Seidel
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