Gesture Recognition Using Temporal Template Based Trajectories

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Venue:
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Year:
2004

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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.