Recognition of human movement Based on Fourier Descriptors

摘要：

A gait recognition method based on Fourier Descriptors (FD) is put forward. First of all, by analyzing the gait cycle, gait sequence of the key frame could be subtracted from the image sequence, then we can get movement of the contours of human body through background abatement and use Fourier Descriptors to handle key frames profile and compress the data. At last, we could get template Matching, which can be classified and recognized by Nearest Neighbor Law. The above method is experimented on the CASIA gait database. Experimental results demonstrate that this method has good recognition performance.

关键词： Fourier descriptors(FD) Image segmentation Silhouette subtraction Human recognition

作者: Lu Xiaoqi Huang Hongmei Zhang Baohua

作者单位: School of Information Engineering, Inner Mongolia University of Science & Technology, BaoTou city, C Department of Communication Engineering, Engineering College of Armed Police Force. China,xian 7100

会议类型: 国际会议

会议名称: The 2nd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2008)(第二届生物信息与生物医学工程国际会议)

会议地点: 上海

会议语种:英文

页码: 1943-1946

在线出版日期: 2008-05-16（万方平台首次上网日期，不代表论文的发表时间）