Effective vehicle detection technique for traffic surveillance systems

Journal of Visual Communication and Image Representation

Volumn 17, Issue 3, 2006, Pages 647-658

  Ji, Xiaopeng ^a   Wei, Zhiqiang ^a   Feng, Yewei ^a  

^a OCEAN UNIVERSITY OF CHINA   (China)

Author keywords

Background updating; Image segmentation; Moving object detection; Optical flow; Shadow elimination

Indexed keywords

ALGORITHMS; IMAGE SEGMENTATION; IMAGING TECHNIQUES; LIGHTING; VISUAL COMMUNICATION;

BACKGROUND IMAGE; BACKGROUND UPDATING; GAUSSIAN MODEL; MOVING OBJECT DETECTION; SELF-ADAPTIVE THRESHOLDING SEGMENTATION; SHADOW ELIMINATION; SURVEILLANCE; THRESHOLDING SEGMENTATION; VIDEO MONITORING SYSTEMS;

TRAFFIC SURVEYS;

EID: 33646359407     PISSN: 10473203     EISSN: 10959076     Source Type: Journal    
DOI: 10.1016/j.jvcir.2005.07.004     Document Type: Article

References (24)

1. Jong Bae Kim, Hang Joon Kim. Efficient region-based motion segmentation for a video monitoring system. Pattern Recognit Lett. 24 (2003) 113-128.
2. Qu You-shan, Tian Wei-jian, Li Ying-cai. The moving target detecting based on the parallelable discontinuous frame difference optical field integrated with gray intensity analysis. Acta Photon. Sin. 32(2) (2003) 182-186.
3. G. Sasa, S. Loncaric, Spatio-temporal image segmentation using optical flow and clustering algorithm, in: First Int'l Workshop on Image and Signal Processing and Analysis, Pula. Croatia, 2000, pp. 63-68.
4. S.M. Smith, J.M. Brady, ASSET-2; real-time motion segmentation and shape tracking. IEEE Trans. PAMI-8(17) (1995) 814-820.
5. Thompson W.B., and Pong T.C. Detecting moving object. Int. J. Comput. Vis. 4 (1990) 39-57
6. Zhang Ze-xu, Li Jin-zong, Li Ning-ning. Detection of moving object using a fusion method based on segmentation of optical flow field and edge extracted by canny's operator. Acta Electron. Sin. 31(9) (2003) 1299-1302.
7. Needham C.J., and Boyle R.D. Tracking multiple sports players through occlusion. Congestion and scale. Br. Mach. Vis. Conf. 1 (2001) 93-102
8. Elgammal A., Harwood D., and Davis L. Non-parametric model for background subtraction. Eur. Conf. Comput. Vis. (2000) 751-767
9. Xiaobo Li, Zhi-Qiang Liu, Ka-Ming Leung. Detection of vehicles from traffic scenes using fuzzy integrals. Pattern Recognit. 35 (2002) 967-980.
10. Cai Q., and Aggarwal J.K. Tracking human motion in structured environments using a distributed-camera system. IEEE Trans. Pattern Anal. Mach. Intell. 21 12 (1999) 1241-1247
11. Murray D., and Basu A. Motion tracking with tracking with an active camera. IEEE Trans. Pattern Anal. Mach. Intell. 16 5 (1994) 449-459
12. Nayar S.K., and Bolle R.M. Computing reflectance ratios from an image. Pattern Recognit. 26 10 (1993) 1529-1542
13. Ma J., Lu X., and Wu C. A motion constraint equation under space-varying or time-varying illumination. Pattern Recognit. Lett. 5 3 (1987) 203-205
14. Deng G., Cahill L.W., and Tobin G.R. The study of logarithmic image processing model and its application to image enhancement. IEEE. Trans. Image Process. 4 4 (1995) 506-512
15. Jourlin M., and Pinoli J.C. A model for logarithmic image processing. J. Microsc. 149 1 (1988) 21-35
16. Gonzalez R.C., and Woods R.E. Digital image processing (1993), Addison-Wesley, Reading, MA
17. Pitas I., and Vanetsanopoulos A.N. Nonlinear Digital Filters: Principles and Applications (1990), Kluger, Boston
18. Berthold K.P. Horn, Brian G. Schunck. Determining Optical Flow. A.I. Memo No.572, Massachusetts Institute of Technology, 1980.
19. Kittler J., and Illingworth J. Minimum error thresholding. Pattern Recognit. 19 1 (1986) 41-47
20. Gonzslez R.C., and Woods R.E. Digital Image Processing. second ed. (2002), Prentice Hall, Upper Saddle River, NJ
21. H. Nariman, M. Alireza, B. Neil, Automatic thresholding for change detection in digital video, in: Proc. SPIE 4067, 2000, pp. 133-142.
22. R. Cucchiara, C. Grana, M. Piccardi, A. Prati, Detecting objects, shadows and ghosts in video streams by exploiting color and motion information, in: Proceedings of the IEEE Int'l Conference on Image Analysis and Processing, 2001.
23. I. Mikic, P. Cosman, G. Kogut, M.M. Trivedi, Moving shadow and object detection in traffic scenes, in: Proceedings of Int't Conference on Pattern Recognition, 2000, p. 9.
24. Akio Yoneyama, Chia H. Yeh, C.-C. Jay Kuo. Moving cast shadow elimination for robot vehicle extraction based on 2D joint vehicle/shadow models, in: Proceeding of the IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS'03).