3-D model-based vehicle tracking

IEEE Transactions on Image Processing

Volumn 14, Issue 10, 2005, Pages 1561-1569

  Lou, Jianguang ^a   Tan, Tieniu ^b   Hu, Weiming ^b   Yang, Hao ^b   Maybank, Steven J ^c  

^a MICROSOFT RESEARCH ASIA   (China)

^b INSTITUTE OF AUTOMATION   (China)

^c UNIVERSITY OF READING   (United Kingdom)

Author keywords

Model based vision; Occlusion reasoning; Pose refinement; Tracking filter; Traffic surveillance

Indexed keywords

ALGORITHMS; CAMERAS; COMPUTER VISION; IMAGE QUALITY; KINEMATICS; MATHEMATICAL MODELS; OPTIMIZATION; THREE DIMENSIONAL; TRACKING (POSITION); TRAFFIC SURVEYS;

MODEL-BASED VISION; OCCLUSION REASONING; POSE REFINEMENT; THREE-DIMENSIONAL VEHICLE MODEL; TRACKING FILTER;

OBJECT RECOGNITION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVALUATION; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; INFORMATION RETRIEVAL; MATHEMATICAL COMPUTING; METHODOLOGY; MOTION; MOTOR VEHICLE; SIGNAL PROCESSING; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING; VIDEORECORDING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; MODELS, STATISTICAL; MOTION; MOTOR VEHICLES; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUBTRACTION TECHNIQUE; VIDEO RECORDING;

EID: 27744483314     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2005.854495     Document Type: Article

References (39)

1. T. N. Tan, G. D. Sullivan, and K. D. Baker, "Model-based localization and recognition of road vehicles," Int. J. Comput. Vis., vol. 27, no. 1, pp. 5-25, 1998.
2. T. N. Tan and K. D. Baker, "Efficient image gradient based vehicle localization," IEEE Trans. Image Process., vol. 9, no. 11, pp. 1343-1356, Nov. 2000.
3. T. N. Tan, K. D. Baker, and G. D. Sullivan, "3-D structure and motion estimation from 2-D image sequences," Image Vis. Comput., vol. 11, no. 4, pp.203-210, 1993.
4. H. Yang, J. G. Lou, H. Z. Sun, W. M. Hu, and T. N. Tan, "Efficient and robust vehicle localization," in Proc. Int. Conf Image Process., Sep. 2001, pp. 355-358.
5. G. Kogut and M. Trivedi, "Efficient and robust vehicle localization," presented at the 9th World Congr. Intelligent Transport Systems, 2002.
6. J. W. Lee, M. S. Kim, and I. S. Kweon, "A Kalman filter based visual tracking algorithm for an object moving in 3-D," in Proc. Int. Conf. Intelligent Robots and Systems, Sep. 1995, pp. 355-358.
7. M. S. Costa and L. G. Shapiro, "3-D object recognition and pose with relational indexing," Comput. Vis. Image Understand., vol. 79, no. 3, pp. 364-407, 2000.
8. H. Kollnig and H. H. Nagel, "3-D pose estimation by directly matching polyhedral models to gray value gradients," Int. J. Comput. Vis., vol. 23, no.3, pp. 283-302, 1997.
9. D. Koller, K. Daniilidis, and H. H. Nagel, "Model-based object tracking in monocular image sequences of road traffic scenes," Int. J. Comput. Vis., vol. 10, no. 3, pp. 257-281, 1993.
10. R. Cutler and L. S. Davis, "Model-based object tracking in monocular image sequences of road traffic scenes," IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 8, pp. 781-796, Aug. 2000.
11. M. Haag and H. H. Nagel, "Combination of edge element and optical flow estimates for 3-D-model-based vehicle tracking in traffic image sequences," Int. J. Comput. Vis., vol. 35, no. 3, pp. 295-319, 1999.
12. W. M. Wells, "Statistical approaches to feature-based object recognition," Int. J Comput. Vis., vol. 21, no. 1, pp. 63-98, 1997.
13. D. G. Lowe, "Robust model-based motion tracking through the integration of search and estimation," Int. J. Comput. Vis., vol. 8, no. 2, pp. 113-122, 1992.
14. D. Koller, J. Weber, and J. Malik, "Efficient and robust vehicle localization," in Proc. 3rd Eur. Conf. Computer Vision, Stockholm, Sweden, Sep. 1994, pp. 186-196.
15. T. Frank, M. Haag, H. Kollnig, and H.-H. Nagel, "Characterization of occlusion situations occurring in real-world traffic scenes," in Proc. ECCV Workshop on Conceptual Descriptions from Images, Apr. 1996, pp.43-57.
16. T. Frank, M. Haag, H. Kollnig, and H.-H. Nagel, "Tracking of occluded vehicles in traffic scenes," in Proc. 4th Eur. Conf. Computer Vision, Apr. 1996, pp. 485-494.
17. M. Haag, Th. Frank, H. Kollnig, and H.-H. Nagel, "Influence of an explicitly modeled 3-D scene on the tracking of partially occluded vehicles," Comput. Vis. Image Understand., vol. 65, no. 2, pp. 206-225, 1997.
18. I. J. Cox and S. L. Hingorani, "An efficient implementation and evaluation of reid's multiple hypothesis tracking algorithm forvisual tracking," in Proc. Int. Conf. Pattern Recognition, Apr. 1994, pp. 437-442.
19. I. Haritaoglu, D. Harwood, and L. S. Davis, "W4: Who? when? where? what? A real time system for detecting and tracking people," in Proc. 3rd Int. Conf Face and Gesture Recognition, Apr. 1998, pp. 222-227.
20. A. Blake, M. Isane, and D. Reynard, "Learning to track the visual motion of contours," Artif. Intell., vol. 78, no. 2, pp. 101-133, 1995.
21. R. Rosales and S. Sclaroff, "Improved tracking of multiple humans with trajectory prediction and occlusion modeling," in Proc. CVPR Workshop Interpretation of Visual Motion, Apr. 1998, pp. 437-442.
22. C. Bregler, "Learning and recognizing human dynamics in video sequences," in Proc. Int. Computer Vision and Pattern Recognition, Apr. 1997, pp. 568-574.
23. T. C. Robert, J. L. Alan, and K. Takeo, "A system for video surveillance and monitoring," in Proc. American Nuclear Society (ANS) 8th Int. Topical Meeting on Robotics and Remote Systems, Apr. 1999, pp. 568-574.
24. T. Kailath, A. H. Sayed, and B. Hassibi, Linear Estimation, Second ed, R. M. Osgood Jr., Ed. Upper Saddle River, NJ: Prentice-Hall, 2000.
25. S. J. Maybank, A. D. Worrall, and G. D. Sullivan, "Filter for car tracking based on acceleration and steering angle," in Proc. Brit. Machine Vision Conf., Sep. 1996, pp. 615-624.
26. S. J. Maybank, A. D. Worrall, and G. D. Sullivan, "A filter for visual tracking based on a stochastic model for driver behavior," in Proc. 4th Eur. Conf. Computer Vision, Apr. 1996, pp. 540-549.
27. M. Haag and H. H. Nagel, "Tracking of complex driving manoeuvres in traffic image sequences," Image Vis. Comput., vol. 16, no. 8, pp. 517-527, 1998.
28. J. S. Liu and R. Chen, "Sequential Monte Carlo methods for dynamical systems," J Amer. Stat. Assoc., vol. 93, no. 8, pp. 1032-1044, 1998.
29. N. J. Gordon, "A hybrid bootstrap filter for target tracking in clutter," IEEE Trans. Aerosp. Electron. Syst., vol. 33, no. 1, pp. 353-358, Jan. 1997.
30. M. Isard and A. Blake, "Contour tracking by stochastic propagation of conditional density," in Proc. Eur. Conf. Computer Vision, Apr. 1996, pp. 343-356.
31. G. Borgefors, "Hierarchical chamfer matching: A parametric edge matching algorithm," IEEE Trans. Pattern Anal. Mach. Intell., vol. 10, no. 6, pp. 849-865, Jun. 1988.
32. W. J. Rucklidge, "Efficiently locating objects using the Hausdorff distance," Int. J. Comput. Vis., vol. 24, no. 3, pp. 251-270, 1997.
33. D. P. Huttenlocher, G. A. Klanderman, and W. J. Rucklidge, "Comparing images using the Hausdorff distance," IEEE Trans. Pattern Anal. Mach. Intell., vol. 15, no. 9, pp. 850-863, Sep. 1993.
34. P. Besl and N. McKay, "A method for registration of 3-D shapes," IEEE Trans. Pattern Anal. Mach. Intell., vol. 14, no. 2, pp. 239-256, Feb. 1992.
35. Q. F. Liu, J. G. Lou, W. Hu, and T. Tan, "Comparison of model-based pose evaluation algorithm in traffic scenes," in Proc. 2nd Int. Conf. Image and Graphics, Aug. 2002, pp. 343-356.
36. G. D. Sullivan, "Visual interpretation of known objects in constrained scenes," Phil. Trans. Roy. Soc., vol. B, no. 337, pp. 361-370, 1992.
37. J. G. Lou, T. N. Tan, and W. M. Hu, "Visual vehicle tracking algorithm," Electron. Lett., vol. 29, no. 18, pp. 1024-1026, 2002.
38. D. H. Zhou, Y G. Xi, and Z. J. Zhang, "A nonlinear adaptive fault detection filter," Int. J. Syst. Sci., vol. 22, no. 12, pp. 2563-2571, 1991.
39. J. G. Lou, H. Yang, W. M. Hu, and T. N. Tan, "Visual vehicle tracking using an improved EKF," in Proc. 5th Asia Conf. Computer Vision, Jan. 2002, pp. 296-301.