A system for marker-less human motion estimation
Pattern Recognition (Proc. DAGM), Springer, LNCS, Vol.3663: 109-116, Aug. 2005
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.
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BibTex reference
@InProceedings{Bro05b,
author = "B. Rosenhahn and U. Kersting and D. Smith and J. Gurney and T. Brox and R. Klette",
title = "A system for marker-less human motion estimation",
booktitle = "Pattern Recognition (Proc. DAGM)",
series = "Lecture Notes in Computer Science",
volume = "3663",
pages = "109-116",
month = "Aug.",
year = "2005",
publisher = "Springer",
url = "http://lmb.informatik.uni-freiburg.de/Publications/2005/Bro05b"
}


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