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要旨:
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.
