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Survey on Various Traffic Monitoring and Reasoning Techniques

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Artificial Intelligence Trends in Intelligent Systems (CSOC 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 573))

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Abstract

Traffic monitoring and surveillance is advancing in recent years. This paper proposes a survey on an overview of various traffic sensing, monitoring techniques. Several projects have been developed for the detection and tracking of vehicles on multiple scenarios. The vehicle monitoring results depends mainly on the camera positioning. This paper gives a detailed description on the different camera positioning and monitoring which includes straight roads and intersections. In this survey a detailed description is given on preprocessing techniques, vehicle detection and tracking methods. Finally paper concludes with the challenges and the future scope.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Amrita University, Coimbatore, India

    H. Haritha & T. Senthil Kumar

Authors
  1. H. Haritha
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  2. T. Senthil Kumar
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Corresponding author

Correspondence to H. Haritha .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlin, Czech Republic

    Radek Silhavy

  2. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlin, Czech Republic

    Roman Senkerik

  3. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlin, Czech Republic

    Zuzana Kominkova Oplatkova

  4. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlin, Czech Republic

    Zdenka Prokopova

  5. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlin, Czech Republic

    Petr Silhavy

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Haritha, H., Senthil Kumar, T. (2017). Survey on Various Traffic Monitoring and Reasoning Techniques. In: Silhavy, R., Senkerik, R., Kominkova Oplatkova, Z., Prokopova, Z., Silhavy, P. (eds) Artificial Intelligence Trends in Intelligent Systems. CSOC 2017. Advances in Intelligent Systems and Computing, vol 573. Springer, Cham. https://doi.org/10.1007/978-3-319-57261-1_50

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  • DOI: https://doi.org/10.1007/978-3-319-57261-1_50

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-57260-4

  • Online ISBN: 978-3-319-57261-1

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