Gait recognition using fractal scale

doi:10.1007/s10044-007-0064-z

	Gait recognition using fractal scale
	Zhao, Guoying ; Cui, Li ; Li, Hua
	2007-08-01
发表期刊	PATTERN ANALYSIS AND APPLICATIONS
ISSN	1433-7541
卷号	10 期号:3 页码:235-246
摘要	Gait is an identifying biometric feature. Video-based gait recognition has now become a new challenging topic in computer vision. In this paper, fractal scale wavelet analysis is applied to describe and automatically recognize gait. Fractal scale, which is based on wavelet analysis, represents the self-similarity of signals, and improves the flexibility of wavelet moments. It is translation, scale and rotation invariant, and has anti-noise and occlusion handling performance. Moreover, by introducing the Mallat algorithm of wavelet, it reduces the computation complexity. Experiments on three databases show that fractal scale has simple computation and is an efficient descriptor for gait recognition.
关键词	biometric fractal scale wavelet analysis gait recognition
DOI	10.1007/s10044-007-0064-z
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000248383000006
出版者	SPRINGER
引用统计	被引频次：14[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/10835
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Zhao, Guoying
作者单位	1.Oulu Univ, Machine Vis Grp, Oulu 90014, Finland 2.Oulu Univ, Dept Elect & Informat Engn, Oulu 90014, Finland 3.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100080, Peoples R China 4.Chinese Acad Sci, Inst Comp Technol, Natl Res Ctr Intelligent Comp Syst, Beijing 100080, Peoples R China 5.Beijing Normal Univ, Sch Math Sci, Beijing 100875, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Guoying,Cui, Li,Li, Hua. Gait recognition using fractal scale[J]. PATTERN ANALYSIS AND APPLICATIONS,2007,10(3):235-246.
APA	Zhao, Guoying,Cui, Li,&Li, Hua.(2007).Gait recognition using fractal scale.PATTERN ANALYSIS AND APPLICATIONS,10(3),235-246.
MLA	Zhao, Guoying,et al."Gait recognition using fractal scale".PATTERN ANALYSIS AND APPLICATIONS 10.3(2007):235-246.