17th International Conference on Pattern Recognition (ICPR'04) - Volume 3 Gesture Recognition Using Temporal Template Based Trajectories Cambridge UK August 23-August 26 ISBN: 0-7695-2128-2
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.
Citation:
Caifeng Shan, Yucheng Wei, Xianchao Qiu, Tieniu Tan, "Gesture Recognition Using Temporal Template Based Trajectories," icpr, vol. 3, pp.954-957, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 3, 2004 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||