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Conference Paper

A system for marker-less human motion estimation

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Rosenhahn,  Bodo
Computer Graphics, MPI for Informatics, Max Planck Society;

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Citation

Rosenhahn, B., Kersting, U., Smith, A., Gurney, J., Brox, T., & Klette, R. (2005). A system for marker-less human motion estimation. In Pattern recognition: 27th DAGM Symposium (pp. 230-237). Berling, Germany: Springer.


Cite as: https://hdl.handle.net/11858/00-001M-0000-000F-25D0-E
Abstract
In this contribution we present a silhouette based human motion estimation system. The system components contain silhouette extraction based on level sets, a correspondence module, which relates image data to model data and a pose estimation module. Experiments are done in a four camera setup and we estimate the model components with 21 degrees of freedom in two frames per second. Finally, we perform a comparison of the motion estimation system with a marker based tracking system to perform a quantitative error analysis. The results show the applicability of the system for marker-less sports movement analysis.