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움직임 실루엣 영상의 일반적인 표현 방식에 대한 연구

A General Representation of Motion Silhouette Image: Generic Motion Silhouette Image(GMSI)

  • 홍성준 (연세대학교 전기전자공학과, 생체인식연구센터) ;
  • 이희성 (연세대학교 전기전자공학과, 생체인식연구센터) ;
  • 김은태 (연세대학교 전기전자공학과, 생체인식연구센터)
  • Hong, Sung-Jun (Korea Science and Engineering, Foundation(KOSEF) through the Biometrics Engineering, Research Center(BERC) at Yonsei University) ;
  • Lee, Hee-Sung (Korea Science and Engineering, Foundation(KOSEF) through the Biometrics Engineering, Research Center(BERC) at Yonsei University) ;
  • Kim, Eun-Tai (Korea Science and Engineering, Foundation(KOSEF) through the Biometrics Engineering, Research Center(BERC) at Yonsei University)
  • 발행 : 2007.08.01

초록

In this paper, a generalized version of the Motion Silhouette Image(MSI) called the Generic Motion Silhouette Image (GMSI) is proposed for gait recognition. The GMSI is a gray-level image and involves the spatiotemporal information of individual motion. The GMSI not only generalizes the MSI but also reflects a flexible feature of a gait sequence. Along with the GMSI, we use the Principal Component Analysis(PCA) to reduce the dimensionality of the GMSI and the Nearest Neighbor(NN) for classification. We apply the proposed feature to NLPR database and compare it with the conventional MSI. Experimental results show the effectiveness of the GMSI.

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참고문헌

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