Traffic video-based moving vehicle detection and tracking in the complex environment

Cybernetics and Systems

Volumn 40, Issue 7, 2009, Pages 569-588

  Gao, Tao ^a   Liu, Zheng Guang ^a   Yue, Shi Hong ^a   Mei, Jian Qiang ^a   Zhang, Jun ^a  

^a TIANJIN UNIVERSITY   (China)

Author keywords

Background modeling; Background subtraction; BDWT (binary discrete wavelet transforms); ITS; Marr wavelet; Moving vehicle tracking; Shadow elimination

Indexed keywords

BACKGROUND MODELING; BACKGROUND SUBTRACTION; BDWT (BINARY DISCRETE WAVELET TRANSFORMS); ITS; MARR WAVELET; MOVING VEHICLE TRACKING; SHADOW ELIMINATION;

ALGORITHMS; AUTOMOBILE FRAMES; COLOR; EDGE DETECTION; IMAGE SEGMENTATION; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; MODELS; PIXELS; PROBABILITY DENSITY FUNCTION; SIGNAL FILTERING AND PREDICTION; VEHICLES; WIRELESS TELECOMMUNICATION SYSTEMS;

DISCRETE WAVELET TRANSFORMS;

EID: 70349272974     PISSN: 01969722     EISSN: 10876553     Source Type: Journal    
DOI: 10.1080/01969720903152544     Document Type: Article

References (23)

1. Arulampalam, S., Maskell, S., Gordon, N., and Clapp, T. 2002. A tutorial on particle filters for on-line nonlinear=non-Gaussian Bayesian tracking. IEEE Trans. Signal Process 50: 174-188.
2. Cheung, S.-C., and Kamath, C. 2004. Robust techniques for background subtraction in urban traffic video. Proc. SPIE Visual Communications and Image Processing, 881-892.
3. Doucet, A., Vo, B.-N., Andrieu, C., and Davy, M. 2002. Particle filter for multi-target tracking and sensor management. The Fifth International Conference on Information Fusion: 474-481.
4. Elder, J. and Goldberg, R. 1998. Interactive contour editing. Proc. IEEE Conf. on Computer Vision and Pattern Recognition, Santa Barbara, CA, pp. 374-381.
5. Friedman, N. and Russell, S. 1997. Image segmentation in video sequences: A probabilistic approach. Proc. Thirteenth Conf. on Uncertainty in Artificial Intelligence, 175-181.
6. Gao, G. Z., Li, Z. W., Yu, L. F., and He, Z. Y. 2004. Shadow elimination in image sequence object detection. Application Research of Computers 5: 205-206.
7. Gao, T. and Liu, Z.-G. 2008. Moving video object segmentation based on redundant wavelet transform. Proc. IEEE Int. Conf. on Information and Automation: 156-160.
8. Grimson, W., Stauffer, C., Romano, R., and Lee, L. 1998. Using adaptive tracking to classify and monitor activities in a site. Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 22-29.
9. Guo, J. B., Zhou, J. L., Han, H. Z., and Wang, Z. L. 2005. Shadow suppression method for background subtraction. Journal of Liaoning Technical University 24: 104-106.
10. Gupte, S., Masoud, O., Martin, R. F. K., and Papanikolopoulos, N. P. 2002. Detection and classification of vehicles. IEEE Transactions on Intelligent Transportation Systems 3: 37-47.
11. Jianhua, H. and Jianjian, X. 2007. Detection and recognition of vehicle and pedestrian in intelligent traffic surveillance. Electronic Measurement Technology 30: 16-17.
12. Koller, D., Weber, J., Huang, T., Malik, J., Ogasawara, G., Rao, B., and Russell, S. 1994. Towards robust automatic traffic scene analysis in real-time. Proc. Int. Conf. on Pattern Recognition, 126-131.
13. Otsu, N. 1979. A threshold selection method from gray-level histogram. IEEE Trans. SMC 9: 62-66.
14. Pan, X. 2004. Moving shadow detection based on color information and edge features. Journal of Zhejiang University (Engineering Science) 38: 389-391.
15. Pitt, M. and Shephard, N. 1999. Auxiliary particle filters. J. Amer. Statist. Assoc. 94: 590-599.
16. Sidenbladh, H. 2003. Multi-target particle filtering for the probability hypothesis density. The Sixth International Conference on Information Fusion: 1110-1117.
17. Stauffer, C. and Grimson, W. E. L. 1999. Adaptive background mixture models for real time tracking. Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 246-252.
18. Swanson, M. D. and Tewfik, A. H. 1996. A binary wavelet de-composition of binary images. IEEE Transactions on Image Processing 5: 1637-1650.
19. Tong, Z., Zhi-Ye, Y., and Xun, Z. 2006. A method for vehicle detection based on histogram. Communications Standardization 1: 184-186.
20. Toyama, K., Krumm, J., Brumitt, B., and Meyers, B. 1999. Wallflower: Principles and practice of background maintenance. Proc. IEEE Int. Conf. on Computer Vision, 255-261.
21. Wang, H. W., Li, C. H., Shi, H., and Wei, F. M. 2005. HSV color space and first-order gradient based shadow suppression algorithm. Computer Engineering and Applications 8: 43-44.
22. Xiaoxia, X. and Quanlin, C. 2005. An improved algorithm for threshold segmentation in video-based vehicle detection. Information Technology 9: 10-11.
23. Zhang, X.-G. and Ding, X.-H. 2007. A note on continuous wavelet transform. Journal of Guangxi Academy of Sciences 23: 4-6.