NDLI: Efficient Night Gait Recognition Based on Template Matching

Content Provider	IEEE Xplore Digital Library
Author	Daoliang Tan Kaiqi Huang Shiqi Yu Tieniu Tan
Copyright Year	2006
Description	Author affiliation: Inst. of Autom., Chinese Acad. of Sci., Beijing (Daoliang Tan; Kaiqi Huang; Shiqi Yu; Tieniu Tan)
Abstract	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 demand-imperative. 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
Sponsorship	IEEE CPS
Starting Page	1000
Ending Page	1003
File Size	280717
Page Count	4
File Format	PDF
ISBN	0769525210
ISSN	10514651
DOI	10.1109/ICPR.2006.478
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Infrared imaging Image recognition Humans Biometrics Pattern recognition Face recognition Fingerprint recognition Face detection Biomedical optical imaging Infrared spectra
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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