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Proceedings Paper

Dynamic content based vehicle tracking and traffic monitoring system
Author(s): Francis Ryals Bowen; Yingzi Du; Shuo Li; Yi Jiang; Tommy Nantung; Samy Noureldin; Michael Knieser; Maher Rizkalla
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Paper 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.

Paper Details

Date Published: 27 February 2007
PDF: 11 pages
Proc. SPIE 6497, Image Processing: Algorithms and Systems V, 64970I (27 February 2007); doi: 10.1117/12.704665
Show Author Affiliations
Francis Ryals Bowen, Indiana Univ.-Purdue Univ. at Indianapolis (United States)
Yingzi Du, Indiana Univ.-Purdue Univ. at Indianapolis (United States)
Shuo Li, Indiana Dept. of Transportation (United States)
Yi Jiang, Purdue Univ. (United States)
Tommy Nantung, Indiana Dept. of Transportation (United States)
Samy Noureldin, Indiana Dept. of Transportation (United States)
Michael Knieser, Indiana Univ.-Purdue Univ. at Indianapolis (United States)
Maher Rizkalla, Indiana Univ.-Purdue Univ. at Indianapolis (United States)


Published in SPIE Proceedings Vol. 6497:
Image Processing: Algorithms and Systems V
Jaakko T. Astola; Karen O. Egiazarian; Edward R. Dougherty, Editor(s)

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