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

Volume

3

fYear

2004

fDate

23-26 Aug. 2004

Firstpage

954

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on

ISSN

1051-4651

Print_ISBN

0-7695-2128-2

Type

conf

DOI

10.1109/ICPR.2004.1334687

Filename

1334687