DOI QR코드

DOI QR Code

Robust Features Extraction by Human-based Hybrid Silhouette

하이브리드 실루엣 기반 인간의 강인한 특징 점 추출

  • 김종선 (군산대학교 전자정보공학부) ;
  • 박진배 (연세대학교 전기전자공학과) ;
  • 주영훈 (군산대학교 전자정보공학부)
  • Published : 2009.04.01

Abstract

In this paper, we propose the robust features extraction method of human by using the skeleton model and hybrid silhouette model. The proposed feature extraction method is divided by hands, shoulder line and elbow region extraction. We use the peer's color information to find the position of hands and propose the circle detection method to extract the shoulder line and elbow. Finally, we show the effectiveness and feasibility of the proposed method through some experiments.

Keywords

References

  1. V. I. Pavlovic, R. Shanna, and Thomas S. Huang, 'Visual interpretation of hand gestures for human computer interaction: A Review,' IEEE, Trans. on PAMI, vol. 19, no. 7, pp. 677-686, July 1997 https://doi.org/10.1109/34.598226
  2. K. Rohr, 'Human movement analysis based on explicit motion models,' in Motion-Based Recognition, Kluwer Academic Publishers, pp. 171-198, 1997
  3. I.-c. Chang and c.-L. Huang, 'The model-based human body motion analysis system,' Image and Vision Computing, vol. 18, no. 14, pp. 1067-1083, 2000 https://doi.org/10.1016/S0262-8856(00)00046-9
  4. 김문환, 박진배, 주영훈, 조영조, 지수영, 김혜진, '지능형 로봇 시스템에서 하이브리드 실루엣 추출 방법을 이용한 인간의 몸 추출' 한국 퍼지 및 지능시스템 학회 추계학술대회, vol. 15, no. 2, pp. 257-260, Nov, 2005
  5. 김문환, 주영훈, 박진해, '인간 로봇 상호작용을 위한 강인한 스켈레톤 특징점 추출기 설계' 한국 퍼지 및 지능시스템학회 추계학술대회, vol. 16, no. 2, pp. 362-365, Nov, 2006
  6. http://opencvlibrary.sourceforge.net
  7. J. Kovac, P. Peer, and F. Solina, 'Human skin colour clustering for face detection,' EUROCON 2003, vol. 2, pp. 144-148, Sept, 2003 https://doi.org/10.1109/EURCON.2003.1248169
  8. B. Rosenhahn, R Klette, and G. Sommer, 'Silhouette based human motion estimation,' LNCS vol. 3175, pp. 294-301, Oct. 2004 https://doi.org/10.1007/b99676
  9. G. V. Veres, L. Gordon, J. N. Carter, and M. S. Nixon, 'What image information is important in silhouette based gait recognition?,' IEEE Computer Society Conference on Computer Vision and Pattern Recognition. vol. 2, pp. 776-782, 2004 https://doi.org/10.1109/CVPR.2004.1315243
  10. I. Haritaoglu, D. Harwood, and L. S. Davis, 'W4: Real-time surveillance of people and their activities,' IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 22, no. 8, pp. 809-830, 2000 https://doi.org/10.1109/34.868683
  11. S. M. Ju, M. J. Black, and Y. Yacoob. 'Cardboard people: A parameterized model of articulated motion.' Int. Corf. On Automatic Face and Gesture Recognition, pp. 38-44, 1996 https://doi.org/10.1109/AFGR.1996.557241
  12. J. Gao and J. Shi. 'Multiple frame motion inference using belief propagation.' Int. Corf. On Automatic Face and Gesture Recognition 2004, pp. 875-880, May, 2004 https://doi.org/10.1109/AFGR.2004.1301644
  13. C. Xu, and J. Prince, 'Snakes, shapes, and gradient vector flow,' IEEE. Trans. on Image Processing, vol. 7, no. 3, pp. 359-369, 1998 https://doi.org/10.1109/83.661186