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Combining 2D feature tracking and volume reconstruction for online video-based human motion capture

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4 Author(s)
Theobalt, C. ; Max-Planck-Inst. fur Inf., Saarbrucken, Germany ; Magnor, M. ; Schuler, P. ; Seidel, H.-P.

The acquisition of human motion data is of major importance for creating interactive virtual environments, intelligent user interfaces, and realistic computer animations. Today's performance of off-the-shelf computer hardware enables marker-free non-intrusive optical tracking of the human body. In addition, recent research shows that it is possible to efficiently acquire and render volumetric scene representations in real-time. This paper describes a system to capture human motion at interactive frame rates without the use of markers or scene-intruding devices. Instead, 2D computer vision and 3D volumetric scene reconstruction algorithms are applied directly to the image data. A person is recorded by multiple synchronized cameras, and a multilayer hierarchical kinematic skeleton is fitted to each frame in a two-stage process. We present results with a prototype system running on two PCs.

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Computer Graphics and Applications, 2002. Proceedings. 10th Pacific Conference on

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