Detection and Classification of Vehicles

IEEE Transactions on Intelligent Transportation Systems

Volumn 3, Issue 1, 2002, Pages 37-47

  Gupte, Surendra ^a,b,c,d   Masoud, Osama ^a,d,e   Martin, Robert F K ^a,d   Papanikolopoulos, Nikolaos P ^a,f,g  

^a University of Minnesota   (United States)

^b SUN MICROSYSTEMS   (United States)

^c UNIVERSITY OF PUNE   (India)

^d UNIVERSITY OF MINNESOTA   (United States)

^e KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS   (Saudi Arabia)

^f NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

^g CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Camera calibration; Vehicle classification; Vehicle detection; Vehicle tracking

Indexed keywords

EID: 0038231366     PISSN: 15249050     EISSN: None     Source Type: Journal    
DOI: 10.1109/6979.994794     Document Type: Article

References (15)

1. K. D. Baker and G. D. Sullivan, "Performance assessment of model-based tracking," in Proc. IEEE Workshop Applications of Computer Vision, Palm Springs, CA, 1992, pp. 28-35.
2. D. Beymer, P. McLauchlan, B. Coifman, and J. Malik, "A real-time computer vision system for measuring traffic parameters," in Proc. IEEE Conf. Computer Vision and Pattern Recognition, Puerto Rico, June 1997, pp. 496-501.
3. M. Burden and M. Bell, "Vehicle classification using stereo vision," in Proc. 6th Int. Conf. Image Processing and Its Applications, vol. 2, 1997, pp. 881-887.
4. A. De La Escalera, L. E. Moreno, M. A. Salichs, and J. M. Armingol, "Road traffic sign detection and classification," IEEE Trans. Ind. Electron., vol. 44, pp. 848-859, Dec. 1997.
5. N. Friedman and S. Russell, "Image segmentation in video sequences," in Proc. 13th Conf. Uncertainty in Artificial Intelligence, Providence, RI, 1997.
6. K. P. Karmann and A. von Brandt, "Moving object recognition using an adaptive background memory," in Proc. Time-Varying Image Processing and Moving Object Recognition, vol. 2, V. Capellini, Ed., 1990.
7. D. Koller, "Moving object recognition and classification based on recursive shape parameter estimation," in Proc. 12th Israel Conf. Artificial Intelligence, Computer Vision, Dec. 27-28, 1993.
8. D. Koller, J. Weber, T. Huang, G. Osawara, B. Rao, and S. Russel, "Toward robust automatic traffic scene analysis in real-time," in Proc. 12th Int. Conf. Pattern Recognition, vol. 1, 1994, pp. 126-131.
9. A. J. Lipton, H. Fujiyoshi, and R. S. Patil, "Moving target classification and tracking from real-time video," in Proc. IEEE Workshop Applications of Computer Vision, 1998, pp. 8-14.
10. O. Masoud and N. P. Papanikolopoulos, "Robust pedestrian tracking using a model-based approach," in Proc. IEEE Conf. Intelligent Transportation Systems, Nov. 1997, pp. 338-343.
11. O. Masoud, N. P. Papanikolopoulos, and E. Kwon, "Vision-based monitoring of weaving sections," in Proc. IEEE Conf. Intelligent Transportation Systems, Oct. 1999, pp. 770-775.
12. O. Masoud, S. Rogers, and N.P. Papanikolopoulos, "Monitoring Weaving Sections," ITS Institute, Univ. Minnesota, Minneapolis, CTS 01-06, Oct. 2001.
13. G. D. Sullivan, "Model-based vision for traffic scenes using the groundplane constraint," Phil. Trans. Roy. Soc. (B), vol. 337, pp. 361-370, 1992.
14. G. D. Sullivan, K. D. Baker, A. D. Worrall, C. I. Attwood, and P. M. Remagnino, "Model-based vehicle detection and classification using orthographic approximations," Image Vis. Comput., vol. 15, no. 8, pp. 649-654, Aug. 1997.
15. G. D. Sullivan, A.D. Worrall, and J. M. Ferryman, "Visual object recognition using deformable models of vehicles," in Proc. Workshop on Context-Based Vision, Cambridge, MA, June 1995, pp. 75-86.