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Video-Based Distance Traffic Analysis: Application to Vehicle Tracking and Counting
May/June 2011 (vol. 13 no. 3)
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

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.

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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 and Engineering, vol. 13, no. 3, pp. 38-45, May-June 2011, doi:10.1109/MCSE.2010.143
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