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Cambridge
Aug. 26, 2004 to Aug. 26, 2004
ISBN: 0-7695-2128-2
pp: 954-957
Caifeng Shan , Chinese Academy of Sciences, Beijing, P.R. China
Yucheng Wei , Chinese Academy of Sciences, Beijing, P.R. China
Xianchao Qiu , Chinese Academy of Sciences, Beijing, P.R. China
Tieniu Tan , Chinese Academy of Sciences, Beijing, P.R. China
ABSTRACT
In this paper, a novel approach of hand gesture recognition is proposed. The spatial-temporal trajectory of hand gesture is first tracked by the Mean Shift Embedded Particle Filter (MSEPF), and then represented in a static image using temporal template. Hand gestures are recognized by a two-layer classifier, which is based on statistical shape and orientation analysis of such Temporal Template Based Trajectories (TTBT). Experimental results show that our algorithm has high recognition rate.
INDEX TERMS
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CITATION
Caifeng Shan, Yucheng Wei, Xianchao Qiu, Tieniu Tan, "Gesture Recognition Using Temporal Template Based Trajectories", ICPR, 2004, Proceedings of the 17th International Conference on Pattern Recognition, Proceedings of the 17th International Conference on Pattern Recognition 2004, pp. 954-957, doi:10.1109/ICPR.2004.1334687
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