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Journal Article

A system for marker-less motion capture


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

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Rosenhahn, B., Brox, T., Kersting, U., Smith, A., Gurney, J., & Klette, R. (2006). A system for marker-less motion capture. Künstliche Intelligenz, 20, 45-51.

Cite as: https://hdl.handle.net/11858/00-001M-0000-000F-222A-D
In this contribution we present a silhouette based human motion capture 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 different camera setups and we estimate the model components with 21 degrees of freedom in up to two frames per second. To evaluate the stability of the proposed algorithm we perform a comparison of the motion estimation system with a marker based tracking system. The results show the applicability of the system for marker-less sports movement analysis. We finally present extensions for motion capture in complex environments, with changing lighting conditions and cluttered background. This paper is an extended version of [21] which was awarded the DAGM Main Prize on the annual symposium of the German pattern recognition society (DAGM) in Vienna, 2005.