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Issue No.03 - May/June (2011 vol.13)
pp: 38-45
Angel Sanchez , Rey Juan Carlos University, Madrid
Pedro D. Suarez , Rey Juan Carlos University, Madrid
Aura Conci , Fluminense Federal University, Rio de Janeiro
Eldman Nunes , Fluminense Federal University, Rio de Janeiro
ABSTRACT
<p>Imaging hardware and video processing techniques offer advantages for traffic monitoring and surveillance. As these experiments show, using appropriate road and vehicle modeling and strong vehicle detection and tracking algorithms offers a good trade-off between correct dynamic vehicle identification and a real-time frame rate. Further, heuristic rules can help analyze and solve difficult traffic situations.</p>
INDEX TERMS
Machine learning, heuristic methods, edge and feature detection, object recognition, applications, computer vision, video analysis, transportation, knowledge modeling, intelligent systems, feature representation
CITATION
Angel Sanchez, Pedro D. Suarez, Aura Conci, Eldman Nunes, "Video-Based Distance Traffic Analysis: Application to Vehicle Tracking and Counting", Computing in Science & Engineering, vol.13, no. 3, pp. 38-45, May/June 2011, doi:10.1109/MCSE.2010.143
REFERENCES
1. V. Kastrinaki, M. Zervakis, and K. Kalaitzakis, "A Survey of Video Processing Techniques for Traffic Applications," Image and Vision Computing, vol. 21, no. 4, 2003, pp. 359–381.
2. E. Bas, M. Tekalp, and F.S. Salman, "Automatic Vehicle Counting from Video for Traffic Flow Analysis," Proc. IEEE Intelligent Vehicles Symp., IEEE Press, 2007, pp. 392–397.
3. G. Zhang, R.P. Avery, and Y. Wang, "A Video-Based Vehicle Detection and Classification System for Real-Time Traffic Data Collection Using Uncalibrated Cameras," J. Transportation Research Board, IEEE Press, 2007, pp. 138–147.
4. S.C. Cheung and C. Kamath, "Robust Techniques for Background Subtraction in Urban Traffic Video," Proc. Int'l Conf. Visual Communications and Image Processing, Int'l Soc. for Optonics and Photonics (SPIE), 2004, pp. 881–892.
5. N. McFarlane and C. Schofield, "Segmentation and Tracking of Piglets in Images," Machine Vision and Applications, vol. 8, no. 3, 1995, pp. 187–193.
6. K. Huang et al., "A Real-Time Object Detecting and Tracking System for Outdoor Night Surveillance," Pattern Recognition, vol. 41, no. 1, 2008, pp. 432–444.
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