关键词: 列质量向量, 宽高比, 步态周期, 支持向量机, 步态识别

Abstract: Gait recognition is based on the walk way to identity, with its unique advantages as a means of identification. In order to improve the gait recognition rate, this paper presents a novel approach for gait recognition based on column mass vector of body contour as feature, with support vector machine together effectively. According to the height and width of body contour to calculate gait cycle, it extractes column mass of body contour, finally, using support vector machine for classification. To verify the effectiveness, a lot of experiments have been performed in the CASIA gait database. Experimental verification of proposed method has higher recognition rate.

Key words: column mass vector, aspect ratio, gait cycle, support vector machine, gait recognition