Title :
Gesture recognition using temporal template based trajectories
Author :
Shan, Caifeng ; Wei, Yucheng ; Qiu, Xianchao ; Tan, Tieniu
Author_Institution :
Inst. of Autom., Chinese Acad. of Sci., Beijing, 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.
Keywords :
filtering theory; gesture recognition; image classification; image representation; statistical analysis; tracking filters; hand gesture recognition; image representation; mean shift embedded particle filter; spatial-temporal trajectory; statistical orientation analysis; statistical shape analysis; temporal template based trajectory; two layer classifier; Image analysis; Image motion analysis; Image sequence analysis; Motion analysis; Particle filters; Particle tracking; Pattern recognition; Robustness; Shape; Trajectory;
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
Print_ISBN :
0-7695-2128-2
DOI :
10.1109/ICPR.2004.1334687
