Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
권호 표지
DOI QR코드

DOI QR Code

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

움직임 실루엣 영상의 일반적인 표현 방식에 대한 연구

  • 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)
  • 홍성준 (연세대학교 전기전자공학과, 생체인식연구센터) ;
  • 이희성 (연세대학교 전기전자공학과, 생체인식연구센터) ;
  • 김은태 (연세대학교 전기전자공학과, 생체인식연구센터)
  • Published : 2007.08.01
Download PDF
⟨ Previous Next ⟩

Abstract

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.

Keywords

References

  1. L. Lee and W. Grimson, 'Gait analysis for recognition and classification,' Proc. IEEE Conf. Face and Gesture Recognition, pp. 55-62, 2002
  2. R. Zhang, B. Christian, and M. Dimitris, 'Human gait recognition,' Proceeding of the 2004 IEEE Computer Vision and Pattern Recognition Workshops, pp. 18-28, 2004
  3. T. Lam and R Lee, 'A new representation for hurnan gait recognition: Motion Silhouette Image(MSI),' Lecture Notes in Computer Science, vol. 3832, pp. 612-618, 2006
  4. H. Murase and R Sakai, 'Moving object recognition in eigenspace representation: Gait analysis and lip reading,' Pattern Recognition Letter, vol. 17, pp. 155-162, 1996 https://doi.org/10.1016/0167-8655(95)00109-3
  5. P. Huang, C. Harris, and M. Nixon, 'Human gait recognition in canonical space using temporal templates,' Vision Image and Signal Processing, vol. 146, 93-100, 1999 https://doi.org/10.1049/ip-vis:19990187
  6. T. Horpraser, D. Harwood, and L. S. Davis, 'A statistical approach for real-time robust background subtraction and shadow detection,' Proc. Int. Conf. Computer Vision, 1999
  7. L. Wang, T. Tan, H. Ning, and W. Hu, 'Silhouette analysis-based gait recognition for human identification,' IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, pp 1505-1518, 2003 https://doi.org/10.1109/TPAMI.2003.1251144