This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
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
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
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.