Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Fusion algorithm for Integrated Face and Gait Identification

얼굴과 발걸음을 결합한 인식

  • Nizami, Imran Fareed (School of Electrical and Electronic Engineering, Yonsei University, Biometrics Engineering Research Center) ;
  • Hong, Sug-Jun (School of Electrical and Electronic Engineering, Yonsei University, Biometrics Engineering Research Center) ;
  • Lee, Hee-Sung (School of Electrical and Electronic Engineering, Yonsei University, Biometrics Engineering Research Center) ;
  • Ann, Toh-Kar (School of Electrical and Electronic Engineering, Yonsei University, Biometrics Engineering Research Center) ;
  • Kim, Eun-Tai (School of Electrical and Electronic Engineering, Yonsei University, Biometrics Engineering Research Center) ;
  • Park, Mig-Non (School of Electrical and Electronic Engineering, Yonsei University, Biometrics Engineering Research Center)
  • Published : 2007.11.02
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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 is considered at decision level. The proposed algorithm is tested on the NLPR database.

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