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Moving Vehicle Detection in Dynamic Traffic Contexts

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Electronics, Communications and Networks V

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 382))

Abstract

We address the problem of moving vehicle detection for dynamic traffic environment with moving cameras. The proposed system obtains visual data from cameras mounted on a moving host vehicle. The optical flow method is employed to estimate the movement of the camera and the relative movement of the background. Moving vehicles are detected by difference of velocity to the background movement model.

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Acknowledgments

This work was supported by South Africa National Research Foundation (RDYR14080687218).

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Authors and Affiliations

  1. Department of Computer Systems Engineering, Tshwane University of Technology, Pretoria, 0001, South Africa

    Chun-Ling Tu

  2. Department of Mechanical Engineering, Mechatronics and Industrial Design, Tshwane University of Technology, Pretoria, 0001, South Africa

    Sheng-Zhi Du

Authors
  1. Chun-Ling Tu
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  2. Sheng-Zhi Du
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Corresponding author

Correspondence to Chun-Ling Tu .

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Editors and Affiliations

  1. University of Stirling, Stirling, Scotland, United Kingdom

    Amir Hussain

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© 2016 Springer Science+Business Media Singapore

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Tu, CL., Du, SZ. (2016). Moving Vehicle Detection in Dynamic Traffic Contexts. In: Hussain, A. (eds) Electronics, Communications and Networks V. Lecture Notes in Electrical Engineering, vol 382. Springer, Singapore. https://doi.org/10.1007/978-981-10-0740-8_30

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  • DOI: https://doi.org/10.1007/978-981-10-0740-8_30

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0738-5

  • Online ISBN: 978-981-10-0740-8

  • eBook Packages: EngineeringEngineering (R0)

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