DOI QR코드

DOI QR Code

색상 분포 및 인체의 상황정보를 활용한 다중카메라 기반의 사람 대응

Multiple Camera-based Person Correspondence using Color Distribution and Context Information of Human Body

  • 채현욱 (울산대학교 전기전자정보시스템공학부) ;
  • 서동욱 (모터웰(주)) ;
  • 강석주 (울산대학교 전기전자정보시스템공학부) ;
  • 조강현 (울산대학교 전기전자정보시스템공학부)
  • 발행 : 2009.09.01

초록

In this paper, we proposed a method which corresponds people under the structured spaces with multiple cameras. The correspondence takes an important role for using multiple camera system. For solving this correspondence, the proposed method consists of three main steps. Firstly, moving objects are detected by background subtraction using a multiple background model. The temporal difference is simultaneously used to reduce a noise in the temporal change. When more than two people are detected, those detected regions are divided into each label to represent an individual person. Secondly, the detected region is segmented as features for correspondence by a criterion with the color distribution and context information of human body. The segmented region is represented as a set of blobs. Each blob is described as Gaussian probability distribution, i.e., a person model is generated from the blobs as a Gaussian Mixture Model (GMM). Finally, a GMM of each person from a camera is matched with the model of other people from different cameras by maximum likelihood. From those results, we identify a same person in different view. The experiment was performed according to three scenarios and verified the performance in qualitative and quantitative results.

키워드

참고문헌

  1. K. Murakami, T. Hasegawa, R. Kurazume, and Y. Kimuro, 'A structured environment with sensor networks for intelligent robots,' IEEE Conference on Sensors, pp. 705-708, Oct. 2008
  2. H. Hashimoto, 'Intelligent space: a commentary on research trends,' International Symposium on Industrial Electronics, vol. 1, pp. 11-16, Jul. 2002 https://doi.org/10.1109/ISIE.2002.1026034
  3. R. T. Collins, A. Lipton, T. Kanade, H. Fujiyoshi, D. Duggens, Y. Tsin, D. Tolliver, N. Enomoto, O. Hasegawa, P. Burt, and L. Wixson, 'A system for video surveillance and monitoring,' Camegie Mellon University, Pittsburgh, PA, Technical Report, CMU-RI-TR-00-12, May 2000
  4. T. S. Jin, J. M. Lee, and H. Hashimoto, 'Position control of mobile robot for human-following in intelligent space with distributed sensors,' International Journal of Control, vol. 4, no. 2, pp. 204-216, Apr. 2006
  5. W. Hu, M. Hu, X. Zhou, T. Tan, J. Lou, and S. Maybank, 'Principal axis-based correspondence between multiple cameras for people tracking,' IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, no. 4, pp. 663-671, Apr. 2006 https://doi.org/10.1109/TPAMI.2006.80
  6. 서동욱, 채현욱, 조강현, '사람의 움직임 추적을 위한 다중 카메라 기반의 지면 위 발의 대응' 제어.자동화.시스템공학 논문지, 제4권 제5호, pp.592-599,Aug.2008
  7. K. Morioka, X. Mao, and H. Hashimoto, 'Global color model based object matching in the multi-camera environment,' Proceedings of the 2006 IEEElRSJ International Conference on Intelligent Robots and Systems, pp. 2644-2649, Oct. 2006 https://doi.org/10.1109/IROS.2006.281946
  8. F. M. Porikli, 'Inter-camera color calibration by correlation model function,' International Conforence on Image Processing, pp.133-136,Sep.2003
  9. O. Javed, K. Shafique, Z. Rasheed, and M. Shah, 'Modeling inter-camera space-time and appearance relationships for tracking across non-overlapping views' Computer Vision and Image Understanding, vol. 109, pp. 146-162,2008 https://doi.org/10.1016/j.cviu.2007.01.003
  10. T. H. Kim and K. H. Jo, 'Robust background acquisition from dynamic scene caused by a moving camera' International Journal of Information Acquisition, vol. 4, no. 3, pp. 227-236, Sept. 2007 https://doi.org/10.1142/S0219878907001265
  11. H. U. Chae, S. J. Kang, and K. H. Jo, 'Identification of a human using accorded blobs on the varied region from image sequence by multiple cameras,' International Coriference on Control, Automation and Systems 2008, pp. 1887-1891, Oct. 2008 https://doi.org/10.1109/ICCAS.2008.4694405
  12. A. P. Dempster, N. M. Laird, and D. B. Rubin, 'Maximum likelihood from incomplete data via the EM algorithm,' Journal of the Royal Statistical Society. Series B, vol. 39, no. 1, pp. 1-38, 1977