Gait recognition based on fusion features

Haizhen Wu; Jiafu Jiang; Xi Chen

doi:10.1117/12.832595

30 October 2009 Gait recognition based on fusion features

Haizhen Wu, Jiafu Jiang, Xi Chen

Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74951D (2009) https://doi.org/10.1117/12.832595
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

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.

Citation Download Citation

Haizhen Wu, Jiafu Jiang, and Xi Chen "Gait recognition based on fusion features", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74951D (30 October 2009); https://doi.org/10.1117/12.832595

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