반도체디스플레이기술학회지 (Journal of the Semiconductor & Display Technology)

한국반도체디스플레이기술학회 (The Korean Society Of Semiconductor & Display Technology)
권호 표지

움직이는 카메라를 위한 신뢰도 기반의 배경 제거 알고리즘

Confidence-based Background Subtraction Algorithm for Moving Cameras

  • 문혁 (한국기술교육대학교 대학원 컴퓨터공학부) ;
  • 이복주 (한국기술교육대학교 대학원 컴퓨터공학부) ;
  • 최영규 (한국기술교육대학교 대학원 컴퓨터공학부)
  • Mun, Hyeok (Korea University of Technology and Education, School of Computer Science and Engineering) ;
  • Lee, Bok Ju (Korea University of Technology and Education, School of Computer Science and Engineering) ;
  • Choi, Young Kyu (Korea University of Technology and Education, School of Computer Science and Engineering)
  • 투고 : 2017.11.25
  • 심사 : 2017.12.20
  • 발행 : 2017.12.31
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초록

Moving object segmentation from a nonstationary camera is a difficult problem due to the motion of both camera and the object. In this paper, we propose a new confidence-based background subtraction technique from moving camera. The method is based on clustering of motion vectors and generating adaptive multi-homography from a pair of adjacent video frames. The main innovation concerns the use of confidence images for each foreground and background motion groups. Experimental results revealed that our confidence-based approach robustly detect moving targets in sequences taken by a freely moving camera.

키워드

참고문헌

  1. D. Lee and Y. Choi, "Background subtraction algorithm based on Multiple Interval Pixel Sampling," KIPS trans. On Software and Data Engineering. vol. 2, no. 1, pp. 27-34, (2013). https://doi.org/10.3745/KTSDE.2013.2.1.027
  2. C. Stauffer and W. Grimson, "Adaptive Background Mixture Models for Real-Time Tracking," Proc. IEEE CS Conf. Computer Vision and Pattern Recognition, Vol. 2, pp. 246-252, (1997).
  3. A. Elgammal, R. Duraiswami, D. Harwood, and L.S. Davis, "Background and Foreground Modeling Using Nonparametric Kernel Density Estimation for Visual Surveillance," Proc. IEEE, Vol. 90, no.7, pp. 1151-1163, (2002). https://doi.org/10.1109/JPROC.2002.801448
  4. Z. Zivkovic, "Improved adaptive gausian mixture model for background subtraction," in Proceedings of the International Conference on Pattern Recognition, pp. 28-31, (2004).
  5. M. Heikkila and M. Pietikainen, "A Texture-Based Method for Modeling the Background and Detecting Moving Objects," IEEE Trans. on PAMI, Vol. 28, no. 4, pp. 657-662, April (2006). https://doi.org/10.1109/TPAMI.2006.68
  6. H. Wang and D. Suter, "A consensus-based method for tracking: Modelling background scenario and foreground appearance," Pattern Recognition, Vol. 40, no. 3, pp. 1091-1105, (2007). https://doi.org/10.1016/j.patcog.2006.05.024
  7. A. Mittal and D. Huttenlocher, "Scene modeling for wide area surveillance and image synthesis," In CVPR, (2000).
  8. Y. Pritch, A. Rav-Acha and S. Peleg, "Non- Chronological Video Synopsis and Indexing," IEEE Trans. on PAMI, Vol. 30, pp. 1971-1984, (2008). https://doi.org/10.1109/TPAMI.2008.29
  9. Bok Ju Lee, Moon Hyuck, Young Kyu Choi, "Lane Detection and Tracking Algorithm for 3D Fluorescence Image Analysis", Journal of the Semiconductor & Display Technology, vol. 15, no. 1, pp. 27-32, (2016).
  10. S. Kim, D. W. Yang, and H. W. Park, "A disparity-based adaptive multi-homography method for moving target detection based on global motion compensation," IEEE Trans. Circuits Syst. Video Technol., Vol. 25, no 8, (2016).
  11. Chang Y., Gerard, Jinman K., and Isaac C., "Detecting motion regions in the presence of a strong parallax from a moving camera by multiview geometric constraints," IEEE Transactions on PAMI, Vol. 29, pp. 1627-1633, (2007). https://doi.org/10.1109/TPAMI.2007.1084
  12. Y. Jin and L. Tao and H. Di and N. Rao, and G. Xu, "Background modeling from a free-moving camera by multi-layer homography algorithm," in Proc. 15th IEEE Int. Conf. Image Process., pp. 1572-1575, (2008).
  13. Y. Sheikh, O. Javed, and T. Kanade, "Background Subtraction for Freely Moving Cameras," Proc. IEEE Int'l Conf. Computer Vision, (2009).
  14. S. Kwak, T. Lim, W. Nam, B. Han, and J. H. Han, "Generalized background subtraction based on hybrid inference by belief propagation and Bayesian filtering," in Proc. ICCV, pp. 2174-2181, (2011).
  15. Y. Jin and L. Tao and H. Di and N. Rao, and G. Xu, "Background modeling from a free-moving camera by multi-layer homography algorithm," in Proc. 15th IEEE Int. Conf. Image Process., pp. 1572-1575, (2008).