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

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

DOI QR Code

Gait Recognition and Person Identification for Surveillance Robots

걸음걸이 인식을 통한 감시용 로봇에서의 개인 확인

  • 박진일 (충북대학교 전기전자컴퓨터공학부) ;
  • 이욱재 (충북대학교 전기전자컴퓨터공학부) ;
  • 조재훈 (충북대학교 전기전자컴퓨터공학부) ;
  • 송창규 (충북대학교 BK21 충북정보기술사업단) ;
  • 전명근 (충북대학교 전기전자컴퓨터공학부)
  • Published : 2009.05.01
Download PDF
⟨ Previous Next ⟩

Abstract

The surveillance robot has been an important component in the field of service robot industry. In the surveillance robot technology, one of the most important technology is to identify a person. In this paper, we propose a gait recognition method based on contourlet and fuzzy LDA (Linear Discriminant Analysis) for surveillance robots. After decomposing a gait image into directional subband images by contourlet, features are obtained in each subband by the fuzzy LDA. The final gait recognition is performed by a fusion technique that effectively combines similarities calculated respectively in each local subband. To show the effectiveness of the proposed algorithm, various experiments are performed for CBNU and NLPR DB datasets. From these, we obtained better classification rates in comparison with the result produced by previous methods.

Keywords

References

  1. International Federation of Robotics, 'World robotics 2008,' IFR
  2. 고현주, 전명근, K. K. Paliwal, '감정이 있는 얼굴영상과 퍼지 Fisherface를 이용한 얼굴인식,' 제어.로봇.시스템학회논문지, 제15권 제1호, pp. 94-98, 2009 https://doi.org/10.5302/J.ICROS.2009.15.1.094
  3. 최병욱, 박정호, 신동관, 우춘규, 김형철, 권용관, '가정용 지능형 경비 로봇 시스템 개발,' 제어.로봇.시스템학회논문지, 제13권 제8호, pp. 810-816, 2007
  4. W. Hu, T. Tan, L. Wang, and S. Maybank, 'A survey on visual surveillance of object motion and behaviors,' IEEE Trans. on Syst. Man and Cyberntics Part C, vol. 34, pp. 334-352, 2004 https://doi.org/10.1109/TSMCC.2004.829274
  5. Depense Advanced Research Projects Agency, http://www.darpa.mil/ito/reseach/hidiindex.html
  6. C. BenAbdelkader, R Cutler, and L. S. Davis, 'Viewinvariant estimation of height and stride for gait recognition,' Proc. of the International Workshop ECCV on Biometric Authentication, pp. 155-167, 2002
  7. C. BenAbdelkader, R Cutler, H. Nanda, and L. Davis, 'EigenGait: Motion-based recognition of people using image self-similarity,' Proc. of the Third International Conf. Audio and Video based Biometric Person Authentication, pp. 284-294, 2001
  8. J. J. Little and J. E. Boyd, 'Recognizing people by their gait: the shape of motion,' Videre: Journal of Computer Vision Research, vol. 1, no. 2, 1998
  9. H. Murase and R Sakai, 'Moving object recognition in eigenspace representation: gait analysis and lip reading,' Pattern Recognition Letters, vol. 17, pp. 155-162, 1996 https://doi.org/10.1016/0167-8655(95)00109-3
  10. L. Lee and W. E. L. Grimson, 'Gait appearance for recognition,' Proc. of the International Workshop ECCV on Biometric Authentication, pp. 143-154, 2002
  11. R. Collins, R Gross, and J. Shi, 'Silhouette-based human identification from body shape and gait,' Proc. of IEEE Conf. on Face and Gesture Recognition, pp. 351-356, 2002
  12. A. Kale, A. K. R Chowdhury, and R Chellappa, 'Towards a view invariant gait recognition algorithm,' Proc. of IEEE International Conf. Advanced Video and Signal Based Surveillance, pp. 143-150, 2003 https://doi.org/10.1109/AVSS.2003.1217914
  13. P. S. Huang, C. J. Harris, and M. S. Nixon, 'Canonical space representation for recognizing humans by gait and face,' IEEE Southwest Symposium on Image Analysis and Interpretation, pp. 180-185, 1999
  14. N. V. Boulgouris, D. Hatzinakos, and K. N. Plataniotis, 'Gait recognition: a challenging signal processing technology for biometric identification,' IEEE Signal Processing. Mag. 22, pp. 78-90, 2005 https://doi.org/10.1109/MSP.2005.1550191
  15. H. Ju and B. Bhanu, 'Statistical feature fusion for gait-based human recognition,' Proc. of the IEEE Conf. Computer Vision and Pattern Recognition, vol. 2, pp. 842-847, 2004
  16. Z. Liu and S. Sarkar, 'Simplest representation yet for gait recognition: averaged silhouette,' Proc. of the International Conf. Pattern Recognition, vol. 4, pp. 211- 214, 2004 https://doi.org/10.1109/ICPR.2004.832
  17. D. D. Y. Po and M. N. Do, 'Directional multiscale modeling of images using the contourlet transform,' IEEE Trans. on Image Processing, vol. 15, no. 6, pp. 1610-1620, 2006 https://doi.org/10.1109/TIP.2006.873450
  18. M. N. Do and M. Vetterli, 'The contourlet transform: an efficient directional multiresolution image representation,' IEEE Trans. on Image Processing, vol. 14, no. 12, pp. 2091-2106, Dec. 2005 https://doi.org/10.1109/TIP.2005.859376
  19. P. J. Burt and E. H. Adelson, 'The Laplacian pyramid as a compact image code,' IEEE Trans. Commun., vol. 31, no. 4, pp. 532-540, 1983 https://doi.org/10.1109/TCOM.1983.1095851
  20. M. N. Do and M. Vetterli, 'Framing pyramids,' IEEE Trans. on Signal Processing., pp. 2329-2342, 2003 https://doi.org/10.1109/TSP.2003.815389
  21. M. N. Do, Directional multi resolution image representations, Ph.D. dissertation, Swiss Federal Institute of Technology, Lausanne, Switzerland, December 2001, http://www.ifp. uiuc.edulinhdo/publications
  22. M. Vetterli, 'Multidimensional subband coding: Some theory and algorithms,' Signal Processing, vol. 6, no. 2, pp. 97-112, 1984 https://doi.org/10.1016/0165-1684(84)90012-4
  23. H. J. Go, K. C. Kwak, S. S. Kim, and M. G. Chun, 'Face recognition for expressive images,' LNCS 3046, pp. 924-932, 2004 https://doi.org/10.1007/b98054
  24. 고현주, 우나영, 신용녀, 김재성, 김학일, 전명근, '균등화 및 분류기에 따른 다중 생체 인식 시스템의 성능 평가,' 한국정보과학회논문지: 소프트웨어 및 응용, 제34권 제4호, pp. 377-388, 2007
  25. 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, vol. 99, pp. 1-19. 1999