A system for articulated tracking incorporating a clothing model

Authors:
Bodo Rosenhahn;Uwe Kersting;Katie Powell;Reinhard Klette;Gisela Klette;Hans-Peter Seidel
Affiliations:
Max Planck Center for Visual Computing and Communication, 66123, Saarbrücken, Germany;The University of Auckland, Department of Sports and Exercise Science, 66123, Auckland, New Zealand;The University of Auckland, Department of Sports and Exercise Science, 66123, Auckland, New Zealand;The University of Auckland, Department of Computer Science, 66123, Auckland, New Zealand;The University of Auckland, Department of Computer Science, 66123, Auckland, New Zealand;Max Planck Center for Visual Computing and Communication, 66123, Saarbrücken, Germany
Venue:
Machine Vision and Applications
Year:
2007

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Abstract

In this paper an approach for motion capture of dressed people is presented. A cloth draping method is incorporated in a silhouette based motion capture system. This leads to a simultaneous estimation of pose, joint angles, cloth draping parameters and wind forces. An error functional is formalized to minimize the involved parameters simultaneously. This allows for reconstruction of the underlying kinematic structure, even though it is covered with fabrics. Finally, a quantitative error analysis is performed. Pose results are compared with results obtained from a commercially available marker based tracking system. The deviations have a magnitude of three degrees which indicates a reasonably stable approach.