A Recognition Method of Gait by Wavelet Transform and Genetic Algorithm

Abstract:

A new recognition method of gait is presented in this paper. In this method, the feature vector of gait is found by multidistinguish analysis of wavelet transform, and gait is recognized by genetic algorithm (GA). This method is different from the traditional method of correlation matching recognition gait. First, the stored space reduces greatly because recognition model is used to replace the store of gait profile image template. Thus this method reduces stored memory greatly. Second real-time is ensured in the process of gait recognition by using GA. The experiments of recognition using the three kinds of gait databases are performed. The experiment results show the feasibility and effectiveness of the proposed method.

• Periodical: Applied Mechanics and Materials (Volumes 701-702)
• Pages: 274-278
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.701-702.274
• Online since: December 2014
• Authors: Yun Shi*, Xu Qi Wang, Yu Cheng Zhang
• Keywords: Gait Recognition, Genetic Algorithm (GA), Wavelet Transform (WT)

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