Gait extraction and recognition based on lower leg and ankle

摘要：

This paper presents gait extraction and recognition method based on a regional information of the lower leg and ankle. First, according to the knowledge of human anatomy, extract lower leg and foot area where the contours of R3, and thin this region. Then the position of ankle is the intersection curve of lower leg and foot, and use least-square method to fit angle sequence of lower leg, and normalize these information and use Discrete Cosine Transform to transform the amplitude Angle sequences. Match two kinds of optimal characteristic, and process result by using feature fusion strategies. The results that experament in the NLPR gait database show: the lower leg and ankle is significant and effective in the gait feature.

关键词： gait recognition ankle calf feature fusion skeleton model

作者: Yi-Bo Li Qin Yang

作者单位: Shcnyang Institute of Aeronautical Engineering, Shenyang, China

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 1549-1552

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）