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Efficient Night Gait Recognition Based on Template Matching

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Efficient Night Gait Recognition Based on Template Matching
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.
Daoliang Tan, Kaiqi Huang, Shiqi Yu, Tieniu Tan
Added 11 Jun 2010
Updated 11 Jun 2010
Type Conference
Year 2006
Where ICPR
Authors Daoliang Tan, Kaiqi Huang, Shiqi Yu, Tieniu Tan
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