Selective eigenbackground for background modeling and subtraction in crowded scenes

IEEE Transactions on Circuits and Systems for Video Technology

Volumn 23, Issue 11, 2013, Pages 1849-1864

  Tian, Yonghong ^a   Wang, Yaowei ^b   Hu, Zhipeng ^a   Huang, Tiejun ^a  

^a PEKING UNIVERSITY   (China)

^b BEIJING INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Background subtraction; selective eigenbackground; selective model initialization; selective reconstruction; virtual frames

Indexed keywords

BACKGROUND SUBTRACTION; EIGENBACKGROUND; MODEL INITIALIZATION; SELECTIVE RECONSTRUCTION; VIRTUAL FRAME;

MODELS; OPTIMIZATION; SECURITY SYSTEMS;

PIXELS;

EID: 84887850294     PISSN: 10518215     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCSVT.2013.2248239     Document Type: Article

References (33)

1. M. Y. Weng, G. Huang, and X. Y. Da, "A new interframe difference algorithm for moving target detection, " in Proc. 3rd Int. Congr. Image Signal Process., 2010, pp. 285-289.
2. R. Cucchiara, C. Grana, M. Piccardi, and A. Prati, "Detecting moving objects, ghosts and shados in video streams, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 25, no. 10, pp. 1337-1342, Oct. 2003.
3. J. Ma and S. T. Li, "Moving target detection based on background modeling by multi-level median filter, " in Proc. World Congr. Intell. Control Autom., 2006, pp. 9974-9978.
4. B. Klare and S. Sarkar, "Background subtraction in varying illuminations using an ensemble based on an enlarged feature set, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. Workshop, Jun. 2009, pp. 66-73.
5. A. F. Smeaton, P. Over, and W. Kraaij, "Evaluation campaigns and TRECVID, " in Proc. 8th ACM Int. Workshop Multimedia Inf. Retrieval, 2006, pp. 321-330.
6. A. P. Dempster, N. M. Laird, and D. B. Rubin, "Maximum likelihood from incomplete data via the EM algorithm, " J. Roy. Statist. Soc. Series B (Methodological), vol. 39, no. 1, pp. 1-38, 1977.
7. C. Stauffer and W. E. L. Grimson, "Adaptive background mixture models for real-time tracking, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 1999, pp. 246-252.
8. R. H. Evangelio, T. Senst, and T. Sikora, "Detection of static objects for the task of video surveillance, " in Proc. IEEE Workshop Appl. Comput. Vis., Jan. 2011, pp. 534-540.
9. P. KaewTraKulPong and R. Bowden, "An improved adaptive background mixture model for real-time tracking with shadow detection, " in Proc. 2nd Eur. Workshop Adv. Video-Based Surveillance Syst., 2002, pp. 135-144.
10. F.-C. Cheng, S.-C. Huang, and S.-J. Ruan, "Advanced background subtraction approach using Laplacian distribution model, " in Proc. Int. Conf. Multimedia Expo., 2010, pp. 754-759.
11. A. Monnet, A. Mittal, N. Paragios, and V. Ramesh, "Background modeling and subtraction of dynamic scenes, " in Proc. 9th IEEE Int. Conf. Comput. Vis., Oct. 2003, pp. 1305-1312.
12. L. Y. Li, W. M. Huang, I. Y.-H. Gu, and Q. Tian, "Foreground object detection from videos containing complex background, " in Proc. ACM Multimedia, 2003, pp. 2-10.
13. N.M. Oliver, B. Rosario, and A. P. Pentland, "A Bayesian computer vision system for modeling human interactions, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 8, pp. 831-843, Aug. 2000.
14. O. Tuzel, F. Porikli, and P. Meer, "A Bayesian approach to background modeling, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., vol. 3, Jun. 2005, pp. 58-61.
15. A. Elgammal, D. Hanvood, and L. S. Davis, "Nonparametric model for background subtraction, " in Proc. Eur. Conf. Comput. Vis., 2000, pp. 751-767.
16. B. Zhang, Y. Gao, S. Zhao, and B. Zhong, "Kernel similarity modeling of texture pattern flow for motion detection in complex background, " IEEE Trans. Circuits Syst. Video Technol., vol. 21, no. 1, pp. 29-38, Jan. 2011.
17. Z. P. Hu, G. N. Ye, G. C. Jia, X. B. Chen, Q. Hu, K. H. Jiang, Y. W. Wang, L. Qing, Y. H. Tian, X. H. Wu, and W. Gao, "PKU@TRECVID2009: Single-actor and pair-activity event detection in surveillance video, " in Proc. TRECVID Workshop, 2009. http://www-nlpir.nist.gov/projects/tvpubs/tv9. papers/pku-idm.pdf
18. K. Kim, T. H. Chalidabhongse, D. Harwood, and L. Davis, "Real-time foreground background segmentation using codebook model, " Real-Time Imaging, vol. 11, no. 3, pp. 172-185, 2005.
19. M. H. Sigari and M. Fathy, "Real-time background modeling/subtraction using two-layer codebook model, " in Proc. Int. Conf. Eng. Comput. Sci., 2008, pp. 717-720.
20. A. Pal, G. Schaefer, and M. E. Celebi, "Robust codebook-based video background subtraction, " in Proc. Int. Conf. Acoust. Speech Signal Process, Mar. 2010, pp. 1146-1149.
21. Y. Yuan, Y. W. Pang, J. Pan, and X. L. Li, "Scene segmentation based on IPCA for visual surveillance, " Neurocomputing, vol. 72, nos. 10-12, pp. 2450-2454, 2009.
22. P. Rosin, "Thresholding for change detection, " in Proc. IEEE Int. Conf. Comput. Vis., Jan. 1998, pp. 274-279.
23. H. Abdi and L. J. Williams, "Principal component analysis, " Wiley Interdisciplinary Rev.: Comput. Statist., vol. 2, no. 4, pp. 433-459, 2010.
24. J. Weng, Y. Zhang, and W.-S. Hwang, "Candid covariance-free incremental principal component analysis, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 25, no. 8, pp. 1034-1040, Aug. 2003.
25. Y.-F. Guo, X. D. Lin, Z. Teng, X. Y. Xue, and J. P. Fan, "A covariance-free iterative algorithm for distributed principal component analysis on vertically partitioned data, " Pattern Recognit., vol. 45, no. 3, pp. 1211-1219, 2012.
26. E. Oja and J. Karhunen, "On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrix, " J. Math. Anal. Appl., vol. 106, no. 1, pp. 69-84, 1985.
27. D. Skocaj and A. Leonardis, "Weighted and robust incremental method for subspace learning, " in Proc. 9th IEEE Int. Conf. Comput. Vis., vol. 2. Aug. 2003, pp. 1494-1500.
28. Y. Li, "On incremental and robust subspace learning, " Pattern Recognit., vol. 37, no. 7, pp. 1509-1518, 2004.
29. D. Ross, J. Lim, and M. H. Yang, "Adaptive probabilistic visual tracking with incremental subspace update, " in Proc. 8th Eur. Conf. Comput. Vis., 2004, pp. 470-482.
30. Z. P. Hu, Y. W. Wang, Y. H. Tian, and T. J. Huang, "Selective eigen-backgrounds method for background subtraction in crowded scenes, " in Proc. IEEE Int. Conf. Image Process., Sep. 2011, pp. 3277-3280.
31. Y. Z Liu, H. X. Yao, W. Gao, X. L. Chen, and D. B. Zhao, "Nonpara-metric background generation, " J. Vis. Commun. Image Represent., vol. 18, no. 3, pp. 253-263, 2007.
32. M. Hofmann, P. Tiefenbacher, and G. Rigoll, "Background segmentation with feedback: The pixel-based adaptive segmenter, " in Proc. IEEE Comput. Vis. Pattern Recognit. Workshop Change Detect., Jun. 2012, pp. 38-43.
33. M. Van Droogenbroeck and O. Paquot, "Background subtraction: Experiments and improvements for ViBe, " in Proc. IEEE CVPR Workshop Change Detect., Jun. 2012, pp. 32-37.