Articulated motion analysis via axis-based representation

Date

2007-01-01

Author

Erdem, Sezen
Tarı, Zehra Sibel

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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.

Subject Keywords

Human motion, Action recognition, Axis based representation, Human motion analysis

URI

https://hdl.handle.net/11511/57372

DOI

https://doi.org/10.1117/12.735005

Collections

Department of Computer Engineering, Conference / Seminar

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Citation Formats

S. Erdem and Z. S. Tarı, “Articulated motion analysis via axis-based representation,” 2007, vol. 6764, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/57372.