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http://dx.doi.org/10.5391/JKIIS.2008.18.1.072

Fusion algorithm for Integrated Face and Gait Identification  

Nizami, Imran Fareed (연세대학교 전기전자공학부)
An, Sung-Je (연세대학교 전기전자공학부)
Hong, Sung-Jun (연세대학교 전기전자공학부)
Lee, Hee-Sung (연세대학교 전기전자공학부)
Kim, Eun-Tai (연세대학교 전기전자공학부)
Park, Mig-Non (연세대학교 전기전자공학부)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.18, no.1, 2008 , pp. 72-77 More about this Journal
Abstract
Identification of humans from multiple view points is an important task for surveillance and security purposes. For optimal performance the system should use the maximum information available from sensors. Multimodal biometric systems are capable of utilizing more than one physiological or behavioral characteristic for enrollment, verification, or identification. Since gait alone is not yet established as a very distinctive feature, this paper presents an approach to fuse face and gait for identification. In this paper we will use the single camera case i.e both the face and gait recognition is done using the same set of images captured by a single camera. The aim of this paper is to improve the performance of the system by utilizing the maximum amount of information available in the images. Fusion in considered at decision level. The proposed algorithm is tested on the NLPR database.
Keywords
gait recognition; face recognition; fusion method; RM;
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