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Vision-Based Vehicle Speed Measurement Method

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Computer Vision and Graphics (ICCVG 2010)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6374))

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Abstract

This paper introduces a novel method for vehicle speed detection based exclusively on visual information. The proposed system consisting only of a digital camera and a computer is able to identify both the speed of the passing vehicle and its licence plate numbers, which makes it an interesting alternative to existing and expensive photoradar systems. The principle of operation is simple: vehicles are identified by their licence plates and their speed is measured based on the vertical difference of their position in consecutive images. An experimental evaluation shows the high accuracy of vehicle speed measurement, comparable to the one provided by comercially available radar-based systems.

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Author information

Authors and Affiliations

  1. Institute of Control and Industrial Electronics, Warsaw University of Technology, ul. Koszykowa 75, 00-662, Warszawa, Poland

    Witold Czajewski & Marcin Iwanowski

Authors
  1. Witold Czajewski
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  2. Marcin Iwanowski
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Editor information

Editors and Affiliations

  1. Polish-Japanese Institute of Information Technology, 86 Koszykowa St, 02-008, Warsaw, Poland

    Leonard Bolc

  2. Institute of Automatics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  3. Faculty of Applied Informatics and Mathematics, Department of Informatics, Warsaw University of Life Sciences, Nowoursynowska 159, 02-776, Warsaw, Poland

    Leszek J. Chmielewski

  4. Polish-Japanese Institute of Information Technology, 86 Koszykowa St, 02-008 Warsaw, konradw@pjwstk.edu.pl, The Silesian University of Technology, Institute of Computer Science, Akademicka 16, 44-100 Gliwice, Polan

    Konrad Wojciechowski

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Czajewski, W., Iwanowski, M. (2010). Vision-Based Vehicle Speed Measurement Method. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2010. Lecture Notes in Computer Science, vol 6374. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15910-7_35

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  • DOI: https://doi.org/10.1007/978-3-642-15910-7_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15909-1

  • Online ISBN: 978-3-642-15910-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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