Occlusion robust and illumination invariant vehicle tracking for acquiring detailed statistics from traffic images

IEICE Transactions on Information and Systems

Volumn E85-D, Issue 11, 2002, Pages 1753-1766

  Kamijo, Shunsuke ^a   Nishida, Tsunetoshi ^a   Sakauchi, Masao ^a  

^a INSTITUTE OF INDUSTRIAL SCIENCE   (Japan)

Author keywords

Illumination invariant; Occlusion; Spatio Temporal MRF model; Tracking; Traffic statistics

Indexed keywords

AUTOMATION; IMAGE ANALYSIS; MARKOV PROCESSES; OPTICAL SENSORS; OPTIMIZATION; TRAFFIC SURVEYS;

VISION SENSORS;

VEHICLE LOCATING SYSTEMS;

EID: 0036881321     PISSN: 09168532     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (26)

1. H. Kolling and H. Nagel, "3D pose estimation by directly matching polyhedral models to gray value gradients," IJCV, vol.23, no.3, pp.283-302, 1997.
2. Y. Sugaya and Y. Ohta, "Stereo by integration of two algorithms with/without occlusion handling," ICPR'00, vol.1, pp.109-113, Barcelona, Sept. 2000,
3. N. Peterfreund, "Robust tracking of position and velocity with Kalman snakes," IEEE Trans. Pattern Anal. & Mach. Intell., vol.21, no.6, pp.564-569, 1999.
4. M. Kass, A. Witkin, and D. Terzopoulos, "Snakes: Active contour models," Int'l J.Computer Vision, vol.1, pp.321-331, 1988.
5. S.M. Smith and J.M. Brady, "ASSET-2: Real-time motion segmentation and shape tracking," IEEE Trans. Pattern Anal. & Mach. Intell., vol.17, no.8, pp.814-820, 1999.
6. C. Stauffer and W.E.L. Grimson, "Adaptive background mixture models for real-time tracking," Proc. CVPR 1999, pp.246-252, June 1999.
7. H. Leuck and H.H. Nagel, "Automatic differentiation facilitates OF-integration into steering-angle-based road vehicle tracking," IEEE CVPR'99, pp.360-365, 1999.
8. W.F. Gardner and D.T. Lawton, "Interactive model-based vehicle tracking," IEEE Trans. Pattern Anal. & Mach. Intell., vol.18, no.11, pp.1115-1121, 1996.
9. K. Weber and J. Malik, "Robust multiple car tracking with occlusion reasoning," Proc. ECCV'94, vol.I, Lecture Notes in Computer Science 800, pp.189-196, Springer-Verlag, 1994.
10. R. Gangisetty, "Advanced traffic management system on I-476 in Pennsylvania," Proc. IEEE. ITSC'97, 1997.
11. S.W. Kim, et al., "Performance comparison of loop/piezo and ultrasonic sensor-based traffic detection systems for collecting individual vehicle information," Proc. 6th World Congress on ITS(CD-ROM), 1998.
12. K. Nakatani, et al., "Fundamental study of information collection Hanshin expressway by employing image processing technology," Proc. 6th World Congress on ITS(CD-ROM), 1999.
13. M. Kagesawa, S. Ueno, K. Ikeuchi, and H. Kashiwagi, "Recognizing vehicles in infrared images using IMAP parallel vision board," IEEE Trans. Intelligent Transportation Systems, vol.2, no.1, pp.10-17, 2001.
14. S. Geman and D. Geman, "Stochastic relaxation, Gibbs distribution, and the Bayesian restoration of images," IEEE Trans. Pattern Anal. & Mach. Intell., vol.6, no.6, pp.721-741, 1984.
15. D.K. Panjwani and G. Healey, "Markov random field models for unsupervised segmentation of textured color images," IEEE Trans. Pattern Anal. & Mach. Intell., vol.17, no.10, pp.939-954, 1995.
16. B.S. Majunath and R. Chellappa, "Unsupervised texture segmentation using Markov random field models," IEEE Trans. Pattern Anal. & Mach. Intell., vol.13, no.5, pp.478-482, May 1991.
17. P. Andrey and P. Tarroux, "Unsupervised segmentation of Markov random field modeled textured images using selectionist relaxation," IEEE Trans. Pattern Anal. & Mach. Intell., vol.20, no.3, 1998.
18. S.A. Barker and P.J.W. Rayner, "Unsupervised image segmentation using Markov random field models," EMM-CVPR'99(LNCS; Springer), pp.179-194, May 1997.
19. P. Rostaing, J.N. Provost, and C. Collet, "Unsupervised multispectral image segmentation using generalized Gaussian noise model," EMMCVPR'99, LNCS; Springer, pp.142-156, July 1999.
20. P. Fieguth and S. Wesolkowski, "Highlight and shading invariant color image segmentation," EMMCVPR'01, LNCS 2134; Springer, pp.314-327, Sophia Antipolis, France, 2001.
21. T. Gevers and A. Smeulders, "PicToSeek: Combining color and shape invariant features for image retrieval," IEEE Trans. Image Processing, vol.9, no.1, pp.102-119, 2000.
22. R. Alferez and Y. Wang, "Geometric and illumination invariants for object recognition," IEEE Trans. Pattern Anal. & Mach. Intell., vol.21, no.6, pp.505-536, 1999.
23. R. Chellappa and A. Jain, Markov Random Fields: Theory and Application, Academic Press, 1993.
24. S. Kamijo, Y. Matsushita, K. Ikeuchi, and M. Sakauchi, "Occlusion robust vehicle tracking utilizing Spatio-Temporal Markov random field model," 7th World Congress on ITS, Torino, Nov. 2000.
25. S. Kamijo, K. Ikeuchi, and M. Sakauchi, "Vehicle tracking in low-angle and front-view images based on Spatio-Temporal Markov random field model," 8th World Congress on ITS, Sydney, Oct. 2001, CD-ROM.
26. S. Kamijo, Y. Matsushita, K. Ikeuchi, and M. Sakauchi, "Traffic monitoring and accident detection at intersections," IEEE Trans. ITS, vol.1, no.2, pp.108-118, June 2000.