An HMM-based segmentation method for traffic monitoring movies

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 24, Issue 9, 2002, Pages 1291-1296

  Kato, Jien ^a,b   Watanabe, Toyohide ^a,b   Joga, Sébastien ^c   Rittscher, Jens ^d   Blake, Andrew ^a,e  

^a IEEE   (Japan)

^b NAGOYA UNIVERSITY   (Japan)

^c France Telecome R and D DMR/RMO   (France)

^d GE GLOBAL RESEARCH   (United States)

^e MICROSOFT RESEARCH   (United Kingdom)

Author keywords

Car tracking; Hidden Markov model; Image classification; Image segmentation; Wavelet coefficients

Indexed keywords

IMAGE CLASSIFICATION;

MARKOV PROCESSES; OBJECT RECOGNITION; REAL TIME SYSTEMS; TRACKING (POSITION); VEHICLE LOCATING SYSTEMS;

IMAGE SEGMENTATION;

EID: 0036709105     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2002.1033221     Document Type: Article

References (18)

1. L.E. Baum, T. Petrie, G. Soules, and N. Weiss, "A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains," Ann. Math. Statistics, vol. 41, no. 1, pp. 164-171, 1970.
2. A. Baumberg and D. Hogg, "Learning Flexible Models from Image Sequences," Computer Vision-ECCV '94, J.-O. Eklundh, ed., Springer-Verlag, vol. 1, pp. 299-308, 1994.
3. A. Blake and M. Isard, Active Contours. London: Springer, p. 352, 1998.
4. I. Daubechies, Ten Lectures on Wavelets. Philadelphia: SIAM, 1992.
5. A.P. Dempster, N.M. Laird, and D.R. Rubin, "Maximum Likelihood from Incomplete Data via the EM Algorithm," J.R. Statistics Soc., vol. B, no 39, pp. 1-38, 1977.
6. G.D. Forney, "The Viterbi Algorithm," Proc. IEEE, vol. 61, pp. 268-278, Mar. 1973.
7. I. Haritaoglu, D. Harwood, and L.S. Davis, "W4 - a Real Time System for Detection and Tracking People and their Parts," Proc. Third Face and Gesture Recognition Conf., pp. 222-227, 1998.
8. M. Isard and A. Blake, "ICONDENSATION: Unifying Low-Level and High-Level Tracking in a Stochastic Framework," Proc. Fifth European Conf. Computer Vision, pp. 893-908, 1998.
9. J. Kato, T. Watanabe, and M. Yoneda, "HMM-Based Background-Object-Shadow Separation for Traffic Monitoring Movies," Trans. Information Processing Society of Japan, vol 42, no. 1, pp. 1-15, 2001, (in Japanese).
10. D. Koller, J. Weber, and J. Malik, "Robust Multiple Car Tracking with Occlusion Reasoning," Computer Vision-ECCV '94, J.-O. Eklundh, ed., vol. 1, pp. 189-196, 1994.
11. N. Mine, Y. Yagi, and M. Yachida, "Detection of Change Region by Integrating Subtracted Image and Edge Boundary Image," Trans. IEICE, vol. J77-D-II, no. 3, pp. 631-634, 1994.
12. H. Nakai, "Non-Parameterized Bayes Decision Method for Moving Object Detection," Proc. Second Asian Conf. Computer Vision, pp. 447-451, Dec. 1995.
13. N. Paragiso and R. Deriche, "A PDE-Based Level Set Approach for Detection and Tracking of Moving Objects," Technical Report 3173, INRIA Sophia Antipolis, 1997.
14. L.R. Rabiner, "A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition," Proc. IEEE, vol. 77, no. 2, pp. 257-286, Feb. 1989.
15. S. Rowe and A. Blake, "Statistical Mosaics for Tracking," Image and Vision Computing, vol. 14, pp. 549-564, 1996.
16. K. Toyama, J. Krumm, B. Brumitt, and B. Meyers, "Wallflower: Principles and Practice of Background Maintenance," Proc. Seventh Int'l Conf. Computer Vision, pp. 255-261, 1999.
17. A.J. Viterbi, "Error Bounds for Convolutional Codes and an Asymptotically Optimal Decoding Algorithm," IEEE Trans. Information Theory, vol. 13, pp. 260-269, Apr. 1967.
18. J.Z. Wang, J. Li, R.M. Gray, and G. Wiederhold, "Unsupervised Multi-resolution Segmentation for Images with Low Depth of Field," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 23, no. 1, pp. 85-90; Jan. 2001.