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http://dx.doi.org/10.5302/J.ICROS.2005.11.12.1062

Gesture Extraction for Ubiquitous Robot-Human Interaction  

Kim, Moon-Hwan (연세대학교 전기전자공학과)
Joo, Young-Hoon (군산대학교 전자정보공학부)
Park, Jin-Bae (연세대학교 전기전자공학과)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.11, no.12, 2005 , pp. 1062-1067 More about this Journal
Abstract
This paper discusses a skeleton feature extraction method for ubiquitous robot system. The skeleton features are used to analyze human motion and pose estimation. In different conventional feature extraction environment, the ubiquitous robot system requires more robust feature extraction method because it has internal vibration and low image quality. The new hybrid silhouette extraction method and adaptive skeleton model are proposed to overcome this constrained environment. The skin color is used to extract more sophisticated feature points. Finally, the experimental results show the superiority of the proposed method.
Keywords
skeleton model; temporal gradient; spatial gradient; hybrid silhouette; active contour;
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