Abstract
The paper presents a method for extracting and tracking vehicles in a video sequence. This scheme combines background updating and edge detection algorithms with model based object tracking. It enables a robust mapping of vehicles trajectories and reliable determination of occupancy of detection zones. The devised method is suitable for application in video sensors for road traffic control systems.
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Płaczek, B., Staniek, M. (2007). Model Based Vehicle Extraction and Tracking for Road Traffic Control. In: Kurzynski, M., Puchala, E., Wozniak, M., Zolnierek, A. (eds) Computer Recognition Systems 2. Advances in Soft Computing, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75175-5_105
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DOI: https://doi.org/10.1007/978-3-540-75175-5_105
Publisher Name: Springer, Berlin, Heidelberg
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