Environmentally robust motion detection for video surveillance

IEEE Transactions on Image Processing

Volumn 19, Issue 11, 2010, Pages 2838-2848

  Woo, Hyenkyun ^a   Jung, Yoon Mo ^b   Kim, Jeong Gyoo ^b   Seo, Jin Keun ^b  

^a Ewha Womans University   (South Korea)

^b Yonsei University   (South Korea)

Author keywords

Energy minimization; motion detection; segmentation; variational energy; video surveillance

Indexed keywords

ENERGY MINIMIZATION; MOTION DETECTION; SEGMENTATION; VARIATIONAL ENERGIES; VIDEO SURVEILLANCE;

COMPUTER GRAPHICS; IMAGE PROCESSING; MONITORING; MULTIMEDIA SYSTEMS; OPTIMIZATION; VIDEOCASSETTE RECORDERS; VIDEODISKS;

SECURITY SYSTEMS;

EID: 78049305245     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2010.2050644     Document Type: Article

References (34)

1. A. Tse, "The real world of critical infrastructure," Security Products (May 2006) [Online]. Available: http://www.secprodonline.com/articles/ 41517/
2. R. T. Collins, A. J. Lipton, H. Fujiyoshi, and T. Kanade, "Special section on video surveillance," IEEE Trans. Pattern Anal. Mach. Intell., vol.22, no.8, pp. 745-920, Aug. 2000.
3. G. Halevy and D. Weinshall, "Motion of disturbances: Detection and tracking of multibody non-rigid motion," Mach. Vis. Appl., vol.11, pp. 122-137, 1999.
4. J. Heikkila and O. Silven, "A real-time system for monitoring of cyclists and pedestrians," in Proc. 2nd IEEE Workshop Vis. Surveill., Jul. 1999, pp. 74-81.
5. P. L. Rosin and E. Ioannidis, "Evaluation of global image thresholding for change detection," Pattern Recognit. Lett., vol.24, pp. 2345-2356, 2003.
6. P. L. Rosin, "Unimodal thresholding," Pattern Recognit., vol.34, pp. 2083-2096, 2001.
7. G. L. Foresti, "Object detection and tracking in time-varying and badly illuminated outdoot environments," Opt. Eng., vol.37, pp. 2550-2564, 1998.
8. E. Stringa, "Morphological change detection algorithms for surveillance applications," in Proc. Brit. Mach. Vis. Conf., 2000, pp. 402-410.
9. 4 : Who? When? Where? What? A real time system for detecting and tracking people," IEEE Trans. Pattern Anal. Mach. Intell., vol.22, no.8, pp. 809-830, Aug. 2000.
10. L. Li, W. Huang, I. Gu, and Q. Tian, "Statistical modeling of complex backgrounds for foreground object detection," IEEE Trans. Image Process., vol.13, no.11, pp. 1459-1472, Nov. 2004.
11. C. Stauffer and W. E. L. Grimson, "Learning patterns of activity using real-time tracking," IEEE Trans. Pattern Anal. Mach. Intell., vol.22, no.8, pp. 747-757, Aug. 2000.
12. K. Toyama, J. Krumm, B. Brumitt, and B. Meyers, "Wallflower: Principles and practice of background maintenance," in Proc. Int. Conf. Comput. Vis., 1999, p. 255.
13. D. Wang, T. Feng, H. Shum, and S. Ma, "A novel probability model for background maintenance and subtraction," in Proc. 15th Int. Conf. Vis. Interface, 2002, pp. 109-117.
14. C. Wren, A. Azarbayejani, T. Darrell, and A. Pentland, "Pfinder: Realtime tracking of the human body," IEEE Trans. Pattern Anal. Mach. Intell., vol.19, no.7, pp. 780-785, Jul. 1997.
15. S. Lee and J. K. Seo, "Level set-based bimodal segmentation with stationary global minimum," IEEE Trans. Image Process., vol.15, no.9, pp. 2843-2852, Sep. 2006.
16. T. F. Chan and L. A.Vese, "Active contour without edges," IEEE Trans. Image Process., vol.10, no.2, pp. 266-277, Feb. 2001.
17. H. Woo, J. K. Seo, and M. O. Lee, "Method and apparatus of realtime segmentation for motion detection in surveillance camera system," Patent Pending May 2007.
18. T. F. Chan, S. Esedoglu, and M. Nikolova, "Algorithms for finding global minimizers of image segmentation and denoising models," SIAM J. Appl. Math., vol.66, pp. 1632-1648, 2006.
19. S. Esedoglu and Y. H. Tsai, "Threshold dynamics for the piecewise constant Mumford-Shah functional," J. Comput. Phys., vol.211, pp. 367-384, 2006.
20. F. Gibou and R. Fedkiw, "A fast hybrid k-means level set algorithm for segmentation," in Proc. 4th Ann. Hawaii Int. Conf. Stat. Math., 2005, pp. 281-291.
21. B. Song and T. F. Chan, "A fast algorithm for level set based optimization," CAM Rep. 02-68.
22. M. Rousson and R. Deriche, "A variational framework for active and adaptive segmentation of vector valued images," in Proc. IEEE Workshop Motion Video Comput., 2002, pp. 56-62.
23. R. C. Gonzalez and R. E. Woods, Digital Image Processing, 3rd ed. Upper Saddle River, NJ: Prentice-Hall, 2008.
24. K. J. Kim, "Apparatus and method for motion detection of image in digital video recording system using MPEG video compression," U.S. Patent 6 931 065, Aug. 16, 2005.
25. N. Friedman and S. Russell, "Image segmentation in video sequences: Aprobabilistic approach," in Proc. 13th Conf. Uncentainty Artif. Intell., 1997, pp. 175-181.
26. B. Georis, X. Desurmont, D. Demaret, J. F. Delaigle, and B. Macq, "IPdistributed computer-aided video surveillance system," in Proc. Intell. Distrib. Surveillance Syst. Workshop, London, U.K., Feb. 2003, pp. 18/1-18/5.
27. J. Renno, N. Lazarevic-McManus, D. Makris, and G. A. Jones, "Evaluating motion detection algorithms: Issues and results," in Proc. IEEE Int. Workshop Vis. Surveillance, Graz, Austria, May 2006, pp. 97-104.
28. P. C. Hansen and D. P. O'Leary, "The use of L-curve in the regularization of discrete ill-posed problems," SIAM J. Sci. Comput., vol.14, pp. 1487-1503, 1993.
29. M. Sezgin and B. Sankur, "Survey over image thresholding techniques and quantative performance evaluation," J. Elect. Imag., vol.13, pp. 146-165, 2004.
30. R. B. Fisher, "The PETS04 surveillance ground-truth data sets," in Proc. 6th Int. Workshop on Performance Evaluation for Tracking and Surveillance, Prague, Czech Republic, 2004, pp. 1-5.
31. C. O'Conaire, N. E. O'Connor, E. Cooke, and A. F. Smeaton, "Comparison of fusion methods for thermo-visual surveillance tracking," in Proc. Int. Conf. Inf. Fusion, 2006, pp. 1-7.
32. S. Lee, J. K. Seo, S. I. Noh, and H.Woo, "Photographing apparatus for tracking object and method thereof," Patent Pending Feb. 2007.
33. T. F. Chan, B. Sandberg, and M. Moelich, "Some recents development in variational image segmentation," CAM Rep. 06-52.
34. M. Moelich and T. F. Chan, "Tracking objects with the Chan-Vese algorithm," Cam Rep. 03-14, Mar. 2003.