Real-time moving vehicle detection with cast shadow removal in video based on conditional random field

IEEE Transactions on Circuits and Systems for Video Technology

Volumn 19, Issue 3, 2009, Pages 437-441

  Wang, Yang ^a  

^a CSIRO   (Australia)

Author keywords

Conditional random field; Contextual constraint; Shadow removal; Vehicle detection

Indexed keywords

IMAGE SEGMENTATION;

CAST SHADOWS; COMPUTATIONALLY EFFICIENT; CONDITIONAL RANDOM FIELD; CONTEXTUAL CONSTRAINT; DETECTION PROCESS; GRAY-SCALE; MOVING CAST SHADOWS; MOVING VEHICLES; NON STATIONARIES; SHADOW REMOVAL; TRAFFIC MONITORING; TRAFFIC SCENES; VEHICLE DETECTION; VIDEO STREAMS;

VEHICLES;

EID: 63349091979     PISSN: 10518215     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCSVT.2009.2013500     Document Type: Article

References (31)

1. A. Criminisi, G. Cross, A. Blake, and V. Kolmogorov, "Bilayer segmentation of live video," in Proc. IEEE Conf. Comput. Vision Pattern Recog., 2006, vol. 1, pp. 53-60.
2. R. Cucchiara, C. Grana, M. Piccardi, and A. Prati, " Detecting moving objects, ghosts, and shadows in video streams," IEEE Trans. Patt. Anal. Mach. Intel., vol. 25, no. 10, pp. 1337-1342, Oct. 2003.
3. A. Elgammal, R. Duraiswami, D. Harwood, and L. Davis, " Background and foreground modeling using nonparametric kernel density estimation for visual surveillance," Proc. IEEE, vol. 90, no. 7, pp. 1151-1163, Jul. 2002.
4. N. Friedman and S. Russell, "Image segmentation in video sequences: A probabilistic approach," in Proc. Conf. Uncertainty Artificial Intell., 1997, pp. 175-181.
5. G. Gordon, T. Darrell, M. Harville, and J. Woodfill, "Background estimation and removal based on range and color," in Proc. IEEE Conf. Comput. Vision Pattern Recog., 1999, vol. 2, pp. 459-464.
6. I. Haritaoglu, D. Harwood, and L. Davis, " W4: Real-time surveillance of people and their activities," IEEE Trans. Patt. Anal. Mach. Intel., vol. 22, no. 8, pp. 809-830, Aug. 2000.
7. T. Horprasert, D. Harwood, and L. Davis, "A statistical approach for real-time robust background subtraction and shadow detection," in Proc. FRAME-RATE Workshop, 1999, pp. 1-19.
8. J.-W. Hsieh, S.-H. Yu, Y.-S. Chen, and W.-F. Hu, " Automiatic traffic surveillance system for vehicle tracking and classification," IEEE Trans. Intell. Transp. Syst., vol. 7, no. 2, pp. 175-187, Jun. 2006.
9. S. Kamijo, K. Ikeuchi, and M. Sakauchi, "Segmentations of spatiotemporal images by spatio-temporal Markov random field model," in Proc. EMMCVPR Workshop, 2001, pp. 298-313.
10. J. Kato, T. Watanabe, S. Joga, J. Rittscher, and A. Blake, " An HMM-based segmentation method for traffic monitoring movies," IEEE Trans. Patt. Anal. Mach. Intel., vol. 24, no. 9, pp. 1291-1296, Sep. 2002.
11. D. Koller, K. Danilidis, and H. Nagel, "Model-based object tracking in monocular image sequences of road traffic scenes," Int. J. Comput. Vision, vol. 10, pp. 257-281, 1993.
12. S. Kumar and M. Hebert, "Discriminative random fields: A discriminative framework for contextual interaction in classification," in Proc. Int. Conf. Comput. Vision, 2003, vol. 2, pp. 1150-1157.
13. J. Lafferty, A. McCallum, and F. Pereira, "Conditional random fields: Probabilistic models for segmenting and labeling sequence data," in Proc. Int. Conf. Mach. Learn., 2001, pp. 282-289.
14. 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.
15. S. Z. Li, Markov Random Field Modeling in Image Analysis. New York: Springer-Verlag, 2001.
16. N. Martel-Brisson and A. Zaccarin, "Moving cast shadow detection from a Gaussian mixture shadow model," in Proc. IEEE Conf. Comput. Vision Pattern Recog., 2005, vol. 2, pp. 643-648.
17. I. Mikic, P. Cosman, G. Kogut, and M. Trivedi, "Moving shadow and object detection in traffic scenes," in Proc. Int. Conf. Pattern Recog., 2000, vol. 1, pp. 321-324.
18. N. Paragios and V. Ramesh, "A MRF-based approach for real-time subway monitoring," in Proc. IEEE Conf. Comput. Vision Pattern Recog., 2001, vol. 1, pp. 1034-1040.
19. A. Prati, I. Mikic, M. Trivedi, and R. Cucchiara, " Detecting moving shadows: Algorithms and evaluation," IEEE Trans. Patt. Anal. Mach. Intel., vol. 25, no. 7, pp. 918-923, Jul. 2003.
20. J. Rittscher, J. Kato, S. Joga, and A. Blake, "A probabilistic background model for tracking," in Proc. Euro. Conf. Comput. Vision, 2000, vol. 2, pp. 336-350.
21. M. Seki, T. Wada, H. Fujiwara, and K. Sumi, "Background subtraction based on cooccurrence of image variations," in Proc. IEEE Conf. Comput. Vision Pattern Recog., 2003, vol. 2, pp. 65-72.
22. Y. Sheikh and M. Shah, " Bayesian modeling of dynamic scenes for object detection," IEEE Trans. Patt. Anal. Mach. Intel., vol. 27, no. 11, pp. 1778-1792, Nov. 2005.
23. K.-T. Song and J.-C. Tai, " Image-based traffic monitoring with shadow suppression," Proc. IEEE, vol. 95, no. 2, pp. 413-426, Feb. 2007.
24. J. Stauder, R. Mech, and J. Ostermann, " Detection of moving cast shadows for object segmentation," IEEE Trans. Multimedia, vol. 1, no. 1, pp. 65-76, Mar. 1999.
25. C. Stauffer and W. Grimson, " Learning patterns of activity using real-time tracking," IEEE Trans. Patt. Anal. Mach. Intel., vol. 22, no. 8, pp. 747-757, Aug. 2000.
26. J. Sun, W. Zhang, X. Tang, and H.-Y. Shum, "Background cut," in Proc. Euro. Conf. Comput. Vision, 2006, vol. 2, pp. 628-641.
27. A. M. Tekalp, Digital Video Processing. Englewood Cliffs, NJ: Prentice-Hall, 1995.
28. K. Toyama, J. Krumm, B. Brumitt, and B. Meyers, "Wallflower: Principles and practice of background maintenance," in Proc. Int. Conf. Comput. Vision, 1999, vol. 1, pp. 255-261.
29. Y. Wang, K.-F. Loe, and J.-K. Wu, " A dynamic conditional random field model for foreground and shadow segmentation," IEEE Trans. Patt. Anal. Mach. Intel., vol. 28, no. 2, pp. 279-289, Feb. 2006.
30. C. R. Wren, A. Azarbayejani, T. Darrell, and A. Pentland, " Pfinder: Real-time tracking of the human body," IEEE Trans. Patt. Anal. Mach. Intel., vol. 19, no. 7, pp. 780-785, Jul. 1997.
31. J. Zhou, D. Gao, and D. Zhang, " Moving vehicle detection for automatic traffic monitoring," IEEE. Trans. Veh. Technol., vol. 56, no. 1, pp. 51-59, Jan. 2007.