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Capturing motion skills with silhouette-based numerical pose estimation

 
: Kahn, Svenja; Malerczyk, Cornelius; Graf, Holger; Bockholt, Ulrich

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Volltext (PDF; )

Bardy, B.G.:
The International Conference SKILLS 2011 : Montpellier, Frankreich, 15.-16. Dez. 2011
Les Ulis: EDP Sciences, 2011 (BIO Web of Conferences 1.2011)
ISSN: 2117-4458
Art. 46, 4 S.
International Conference SKILLS <2011, Montpellier>
Englisch
Konferenzbeitrag, Zeitschriftenaufsatz, Elektronische Publikation
Fraunhofer IGD ()
pose estimation; motion capturing; optimization

Abstract
The capturing of human movements is an important step for the analysis of human skills, e.g. for sports analysis or for learning-by-demonstration tasks. In this paper we introduce a new markerless pose estimation method which estimates human poses from silhouettes. The presented numerical pose estimation algorithm adapts a non-deterministical annealing schedule for silhouette based motion capturing. The pose is estimated by numerically minimizing the differences between the silhouettes of synthesized views of a 3D avatar and the silhouettes of the real person in the camera images. The evaluation results of simulation experiments quantify the trade-off between the accuracy and the execution time of the presented algorithm.

: http://publica.fraunhofer.de/dokumente/N-192549.html