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http://dx.doi.org/10.5302/J.ICROS.2009.15.4.433

Robust Features Extraction by Human-based Hybrid Silhouette  

Kim, Jong-Seon (군산대학교 전자정보공학부)
Park, Jin-Bae (연세대학교 전기전자공학과)
Joo, Young-Hoon (군산대학교 전자정보공학부)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.15, no.4, 2009 , pp. 433-438 More about this Journal
Abstract
In this paper, we propose the robust features extraction method of human by using the skeleton model and hybrid silhouette model. The proposed feature extraction method is divided by hands, shoulder line and elbow region extraction. We use the peer's color information to find the position of hands and propose the circle detection method to extract the shoulder line and elbow. Finally, we show the effectiveness and feasibility of the proposed method through some experiments.
Keywords
features extraction; skeleton model; hybrid silhouette;
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