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Proceedings Paper

Gait recognition based on fusion features
Author(s): Haizhen Wu; Jiafu Jiang; Xi Chen
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Paper Abstract

Gait recognition and analysis is a promising biometrics technology finding applications in numerous sectors of our society. This paper proposes a new fusion algorithm where the static and dynamic features are fused to obtain optimal performance. The new fusion algorithm divides decision situations into two categories. The wavelet moment is used to describe the static features of gait sequence images, and the three widths of the body contour are used to describe the dynamic features. In addition, the Principal Component Analysis (PCA) for feature transformation of spatial templates is proposed. The experimental results demonstrate that the proposed algorithm performs an encouraging recognition rate.

Paper Details

Date Published: 30 October 2009
PDF: 7 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74951D (30 October 2009); doi: 10.1117/12.832595
Show Author Affiliations
Haizhen Wu, Changsha Univ. of Science and Technology (China)
Jiafu Jiang, Changsha Univ. of Science and Technology (China)
Xi Chen, Changsha Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis

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