CASIA OpenIR  > 智能感知与计算研究中心
Efficient Night Gait Recognition Based on Template Matching
Daoliang Tan; Kaiqi Huang; Tieniu Tan; Shiqi Yu
2006
Conference Namethe 18th International Conference on Pattern Recognition
Pages1000-1003
Conference Date2006-08-01
Conference PlaceHong Kong, China
AbstractGait is a useful biometric which can be used to recognize people at a distance when other biometrics are incapable. However, most work on gait recognition has been visible spectrum-oriented over the past decade, ignoring recognition at night which is in reality demandimperative. This paper deals with the problem of night gait recognition via thermal infrared imagery. First of all, human detection is accomplished, based on the Gaussian mixture modeling of the background. Then, human silhouettes are extracted on the basis of preceding detection results. Moreover, a new gait representation called HTI is proposed to characterize gait signatures for recognition. An infrared night gait database was built to provide a foundation for night gait recognition. Experimental results on two gait datasets show the effectiveness of this method.
KeywordGaussian Processes   biometrics (Access Control   gait Analysis
Language英语
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12728
Collection智能感知与计算研究中心
Corresponding AuthorKaiqi Huang
Affiliation中国科学院自动化研究所
Recommended Citation
GB/T 7714
Daoliang Tan,Kaiqi Huang,Tieniu Tan,et al. Efficient Night Gait Recognition Based on Template Matching[C],2006:1000-1003.
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