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Model Based Vehicle Extraction and Tracking for Road Traffic Control

  • Conference paper
Book cover Computer Recognition Systems 2

Part of the book series: Advances in Soft Computing ((AINSC,volume 45))

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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Author information

Authors and Affiliations

  1. Faculty of Transport, Silesian University of Technology, Krasiñskiego 13, 40-019, Katowice, Poland

    Bartlomiej Płaczek & Marcin Staniek

Authors
  1. Bartlomiej Płaczek
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  2. Marcin Staniek
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Editor information

Editors and Affiliations

  1. Faculty of Electronics, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Marek Kurzynski , Edward Puchala , Michal Wozniak  & Andrzej Zolnierek , ,  & 

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© 2007 Springer-Verlag Berlin Heidelberg

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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

  • Print ISBN: 978-3-540-75174-8

  • Online ISBN: 978-3-540-75175-5

  • eBook Packages: EngineeringEngineering (R0)

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