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Capturing Motion Skills with Silhouette-Based Numerical Pose Estimation

Kahn, Svenja ; Malerczyk, Cornelius ; Graf, Holger ; Bockholt, Ulrich (2011)
Capturing Motion Skills with Silhouette-Based Numerical Pose Estimation.
In: BIO Web of Conferences, 1
doi: 10.1051/bioconf/20110100046
Artikel, Bibliographie

Kurzbeschreibung (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.

Typ des Eintrags: Artikel
Erschienen: 2011
Autor(en): Kahn, Svenja ; Malerczyk, Cornelius ; Graf, Holger ; Bockholt, Ulrich
Art des Eintrags: Bibliographie
Titel: Capturing Motion Skills with Silhouette-Based Numerical Pose Estimation
Sprache: Englisch
Publikationsjahr: 2011
Titel der Zeitschrift, Zeitung oder Schriftenreihe: BIO Web of Conferences
Jahrgang/Volume einer Zeitschrift: 1
DOI: 10.1051/bioconf/20110100046
Kurzbeschreibung (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.

Freie Schlagworte: Business Field: Digital society, Research Area: Confluence of graphics and vision, Pose estimation, Motion capturing, Optimization
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
Hinterlegungsdatum: 12 Nov 2018 11:16
Letzte Änderung: 12 Nov 2018 11:16
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