Gait recognition using sparse representation

doi:10.1109/ICWAPR.2010.5576306

	Gait recognition using sparse representation
	Ma, Yan
	2010
会议名称	PROCEEDINGS OF THE 2010 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION
会议录名称	2010 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR 2010
期号	0
页码	136-139
会议日期	0
会议地点	CHINA
出版地	NEW YORK
出版者	IEEE Computer Society
摘要	A new approach of gait recognition based on sparse representation is proposed. Static and motion information are fused using the averaged boundary which is extracted by canny operator. The training data and the testing data belong to one object when there is a sparse representation in training data for the testing data. The algorithm is implemented on USF gait database. Experimental results prove the higher performance of the method on the gait datasets which are captured on different time. ©2010 IEEE.
关键词	Gait analysis Averaged boundary Canny Operators Gait database Gait recognition Motion information New approaches Sparse representation Static and motion
DOI	10.1109/ICWAPR.2010.5576306
收录类别	EI ; CPCI-S ; CPCI
语种	英语
WOS研究方向	Computer Science ; Engineering ; Mathematics
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications ; Engineering, Electrical & Electronic ; Mathematics, Applied
WOS记录号	WOS:000287456000025
EI入藏号	20104313328286
原始文献类型	Proceedings Paper
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	会议论文
条目标识符	http://ir.lzufe.edu.cn/handle/39EH0E1M/9873
专题	信息工程与人工智能学院
作者单位	Department of Information Engineering, Lanzhou University of Finance and Economics, Lanzhou 730020, China
推荐引用方式 GB/T 7714	Ma, Yan. Gait recognition using sparse representation[C]. NEW YORK:IEEE Computer Society,2010:136-139.