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Efficient Night Gait Recognition Based on Template Matching
Daoliang Tan; Kaiqi Huang; Tieniu Tan; Shiqi Yu
2006
会议名称the 18th International Conference on Pattern Recognition
页码1000-1003
会议日期2006-08-01
会议地点Hong Kong, China
摘要Gait 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.
关键词Gaussian Processes   biometrics (Access Control   gait Analysis
语种英语
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/12728
专题智能感知与计算研究中心
通讯作者Kaiqi Huang
作者单位中国科学院自动化研究所
推荐引用方式
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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