Dynamic content-based vehicle tracking and traffic monitoring system

Francis Ryals Bowen; Yingzi Du; Shuo Li; Yi Jiang; Tommy Nantung; Samy Noureldin; Michael Knieser; Maher Rizkalla

doi:10.1117/12.704665

27 February 2007 Dynamic content based vehicle tracking and traffic monitoring system

Francis Ryals Bowen, Yingzi Du, Shuo Li, Yi Jiang, Tommy Nantung, Samy Noureldin, Michael Knieser, Maher Rizkalla

Proceedings Volume 6497, Image Processing: Algorithms and Systems V; 64970I (2007) https://doi.org/10.1117/12.704665
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

Abstract

Video image processing based vehicle tracking and traffic monitoring provides several advantages over traditional approaches. One of the challenges lies in the robust segmentation and region tracking. The traditional approaches have assumed 1) the region of the object of interest is uniform and homogeneous; 2) adjacent regions should differ significantly. These are often not true for a vehicle object. In this paper, we propose a dynamic content based image segmentation method for vehicle tracking and traffic monitoring. Only initial lane information is needed for camera calibration. The system will automatically detect the direction of the traffic flow for vehicle detection and traffic monitoring. The preliminary experimental results show that this method is effective.

Citation Download Citation

Francis Ryals Bowen, Yingzi Du, Shuo Li, Yi Jiang, Tommy Nantung, Samy Noureldin, Michael Knieser, and Maher Rizkalla "Dynamic content based vehicle tracking and traffic monitoring system", Proc. SPIE 6497, Image Processing: Algorithms and Systems V, 64970I (27 February 2007); https://doi.org/10.1117/12.704665

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