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Proceedings Paper

Model-based human action recognition
Author(s): Nattapon Noorit; Nikom Suvonvorn; Montri Karnchanadecha
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Paper Abstract

The identification of human basic actions plays an important role for recognizing human activities in complex scene. In this paper we propose an approach for automatic human action recognition. The parametric model of human is extracted from image sequences using motion/texture based human detection and tracking. Action features from its model are carefully defined into the action interaction representation and used for the recognizing process. Performance of proposed method is tested experimentally using datasets under indoor environments.

Paper Details

Date Published: 26 February 2010
PDF: 6 pages
Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75460P (26 February 2010); doi: 10.1117/12.853223
Show Author Affiliations
Nattapon Noorit, Prince of Songkla Univ. (Thailand)
Nikom Suvonvorn, Prince of Songkla Univ. (Thailand)
Montri Karnchanadecha, Prince of Songkla Univ. (Thailand)


Published in SPIE Proceedings Vol. 7546:
Second International Conference on Digital Image Processing
Kamaruzaman Jusoff; Yi Xie, Editor(s)

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