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Proceedings Paper

Articulated motion analysis via axis-based representation
Author(s): Sezen Erdem; Sibel Tari
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Paper Abstract

Human motion analysis is one of the active research areas in computer vision. The trend shifts from computing motion fields to determining actions. We present an action coding scheme based on a trajectory of features defined with respect to a part based coordinate system. The method does not require prior human model or special motion capture hardware. The features are extracted from images segmented in the form of silhouettes. The feature extraction step ignores 3D effects such as self occlusions or motion perpendicular to the viewing plane. These effects are later revealed in the trajectory analysis. We demonstrate preliminary experiments.

Paper Details

Date Published: 10 September 2007
PDF: 8 pages
Proc. SPIE 6764, Intelligent Robots and Computer Vision XXV: Algorithms, Techniques, and Active Vision, 67640F (10 September 2007); doi: 10.1117/12.735005
Show Author Affiliations
Sezen Erdem, ASELSAN INC. (Turkey)
Sibel Tari, Middle East Technical Univ. (Turkey)


Published in SPIE Proceedings Vol. 6764:
Intelligent Robots and Computer Vision XXV: Algorithms, Techniques, and Active Vision
David P. Casasent; Ernest L. Hall; Juha Röning, Editor(s)

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