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Proceedings Paper

Model-based sparse 3D reconstruction for online body tracking
Author(s): Tobias Jaeggli; Thomas P. Koninckx; Luc J. Van Gool
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Paper Abstract

In this paper a new approach to 3D human body tracking is proposed. A sparse 3D reconstruction of the subject to be tracked is made using a structured light system consisting of a precalibrated LCD projector and a camera. At a number of points-of-interest, easily detectable features are projected. The resulting sparse 3D reconstruction is used to estimate the body pose of the tracked person. This new estimate of the body pose is then fed back to the structured light system and allows to adapt the projected patterns, i.e. decide where to project features. Given the observations, a physical simulation is used to estimate the body pose by attaching forces to the limbs of the body model. The sparse 3D observations are augmented by denser silhouette information, in order to make the tracking more robust. Experiments demonstrate the feasibility of the proposed approach and show that the high speeds that are required due to the closed feedback loop can be achieved.

Paper Details

Date Published: 17 January 2005
PDF: 9 pages
Proc. SPIE 5665, Videometrics VIII, 56650N (17 January 2005); doi: 10.1117/12.586684
Show Author Affiliations
Tobias Jaeggli, Swiss Federal Institute of Technology Zurich (Switzerland)
Katholieke Univ. Leuven (Belgium)
Thomas P. Koninckx, Katholieke Univ. Leuven (Belgium)
Luc J. Van Gool, Swiss Federal Institute of Technology Zurich (Switzerland)
Katholieke Univ. Leuven (Belgium)


Published in SPIE Proceedings Vol. 5665:
Videometrics VIII
J.-Angelo Beraldin; Sabry F. El-Hakim; Armin Gruen; James S. Walton, Editor(s)

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