Paper
26 February 2010 Model-based human action recognition
Nattapon Noorit, Nikom Suvonvorn, Montri Karnchanadecha
Author Affiliations +
Proceedings Volume 7546, Second International Conference on Digital Image Processing; 75460P (2010) https://doi.org/10.1117/12.853223
Event: Second International Conference on Digital Image Processing, 2010, Singapore, Singapore
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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nattapon Noorit, Nikom Suvonvorn, and Montri Karnchanadecha "Model-based human action recognition", Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75460P (26 February 2010); https://doi.org/10.1117/12.853223
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Cited by 5 scholarly publications.
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KEYWORDS
Motion models

Head

Cameras

Model-based design

Feature extraction

Motion detection

Image segmentation

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