Articulated motion analysis via axis-based representation

Sezen Erdem; Sibel Tari

doi:10.1117/12.735005

10 September 2007 Articulated motion analysis via axis-based representation

Sezen Erdem, Sibel Tari

Proceedings Volume 6764, Intelligent Robots and Computer Vision XXV: Algorithms, Techniques, and Active Vision; 67640F (2007) https://doi.org/10.1117/12.735005
Event: Optics East, 2007, Boston, MA, United States

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.

Citation Download Citation

Sezen Erdem and Sibel Tari "Articulated motion analysis via axis-based representation", Proc. SPIE 6764, Intelligent Robots and Computer Vision XXV: Algorithms, Techniques, and Active Vision, 67640F (10 September 2007); https://doi.org/10.1117/12.735005

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