A system for marker-less human motion estimation

Authors:
B. Rosenhahn;U. G. Kersting;A. W. Smith;J. K. Gurney;T. Brox;R. Klette
Affiliations:
Computer Science Department;Department of Sport and Exercise Science, The University of Auckland, New Zealand;Department of Sport and Exercise Science, The University of Auckland, New Zealand;Department of Sport and Exercise Science, The University of Auckland, New Zealand;Math. Image Analysis Group, Saarland University, Germany;Computer Science Department
Venue:
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
Year:
2005

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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.