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Articulated motion analysis via axis-based representation
Date
2007-01-01
Author
Erdem, Sezen
Tarı, Zehra Sibel
Metadata
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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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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.