Chinese Optics Letters, 2004, 2 (6): 06323, Published Online: Jun. 6, 2006
Vehicle detection and tracking based on phase-correlation
Abstract
This paper presents vehicle detection and tracking algorithms based on real-time background (RTB) and phase-correlation (PC) in the video sequence of urban highway with fixed camera. Firstly moving objects are obtained by subtracting RTB from serial images. After classification, PC is used to determine corresponding regions of moving objects between consecutive frames. The problems of vehicles' merging and splitting, sudden stop, and restart are also considered. Experiments show that the method is practical and can realize real-time detection and tracking of vehicles on highway.
References
[1] D. P. Kottke and Y. Sun, Pattern Analysis and Machine Intelligence 16, 1128 (1994).
[2] J. Badenas, J. M. Sanchiz, and F. Pla, in Proceedings of 15th International Conference on Pattern Recognition 3, 125 (2000).
[3] S. Gupte, O. Masoud, R. F. K. Martin, and N. P. Papanikolopoulous, Intelligent Transportations Systems 3, 37 (2002).
[4] H. Foroosh, J. B. Zerubia, and M. Berthod, Image Processing 11, 188 (2002).
[5] B. Tang, Y. X. Leng, H. L. Peng, Z. Q. Zhang, and L. H. Lin, Chin. Opt. Lett. 1, 432 (2003).
Yi He, Xin Yang. Vehicle detection and tracking based on phase-correlation[J]. Chinese Optics Letters, 2004, 2(6): 06323.
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