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Objects Detection and Tracking on the Level Crossing

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Computational Collective Intelligence

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9329))

Abstract

In this article is presented algorithm for obstacle detection and objects tracking in a railway crossing area. The object tracking is based on template matching and sum of absolute differences. The object tracking was implemented for better reliability of presented system. For optical flow estimation is used a modified Lucas-Kanade method. The results of proposed algorithm were verified in a real traffic scenarios consisted of two railway crossings in Czech Republic during 2013-14 under different environmental conditions.

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Author information

Authors and Affiliations

  1. Faculty of Electrical Engineering and Informatics, University of Pardubice, Studentska 95, 53002, Pardubice, Czech Republic

    Zdeněk Silar & Martin Dobrovolny

Authors
  1. Zdeněk Silar
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  2. Martin Dobrovolny
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Corresponding author

Correspondence to Zdeněk Silar .

Editor information

Editors and Affiliations

  1. Universidad Complutense de Madrid, Madrid, Spain

    Manuel Núñez

  2. Wrocław University of Technology, Wroclaw, Poland

    Ngoc Thanh Nguyen

  3. Computer Science Department, Universidad Autónoma De Madrid, Madrid, Spain

    David Camacho

  4. Wrocław University of Technology, Wroclaw, Poland

    Bogdan Trawiński

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Silar, Z., Dobrovolny, M. (2015). Objects Detection and Tracking on the Level Crossing. In: Núñez, M., Nguyen, N., Camacho, D., Trawiński, B. (eds) Computational Collective Intelligence. Lecture Notes in Computer Science(), vol 9329. Springer, Cham. https://doi.org/10.1007/978-3-319-24069-5_23

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  • DOI: https://doi.org/10.1007/978-3-319-24069-5_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24068-8

  • Online ISBN: 978-3-319-24069-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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