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Moving Object Detection for Driving Assistance System Based on Improved ORB Feature Matching

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Internet and Distributed Computing Systems (IDCS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9864))

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Abstract

In order to overcome the shortcoming of origin feature matching and extract moving objects accurately for real-time driving assistance system. We present a novel moving object detection method based on improved ORB. Firstly, The ORB is used to extract and match feature points. Secondly, we establish an improved Feature Matching Optimization Strategy to remove the mismatched pairs more efficiently. Then differential multiplication and morphology processing are used to accurately segment the moving objects. Finally, a Driving Impact Degree Alarm Mechanism is proposed to give the driver an early warning to take braking measures. Experimental results show that the accuracy of feature matching could be increased to 97 % by our method and the processing speed is fast enough to meet the requirements for real-time driving assistance system. It also has certain advantages in dealing with noise suppression.

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Author information

Authors and Affiliations

  1. School of Logistics Engineering, Wuhan University of Technology, Wuhan, 430063, China

    Jun Gao & Honghui Zhu

Authors
  1. Jun Gao
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  2. Honghui Zhu
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Corresponding authors

Correspondence to Jun Gao or Honghui Zhu .

Editor information

Editors and Affiliations

  1. Wuhan University of Technology , Wuhan, China

    Wenfeng Li

  2. Central Queensland University , North Rockhampton, Queensland, Australia

    Shawkat Ali

  3. Delft University of Technology , Delft, The Netherlands

    Gabriel Lodewijks

  4. University of Calabria , Rende (CS), Italy

    Giancarlo Fortino

  5. University of Reading , Reading, United Kingdom

    Giuseppe Di Fatta

  6. Huazhong University of Science and Technology, Wuhan, China

    Zhouping Yin

  7. CSIRO ICT , Acton, Australia

    Mukaddim Pathan

  8. ICAR-CNR, Rende (CS), Italy

    Antonio Guerrieri

  9. Wuhan University of Technology , Wuhan, China

    Qiang Wang

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© 2016 Springer International Publishing AG

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Gao, J., Zhu, H. (2016). Moving Object Detection for Driving Assistance System Based on Improved ORB Feature Matching. In: Li, W., et al. Internet and Distributed Computing Systems. IDCS 2016. Lecture Notes in Computer Science(), vol 9864. Springer, Cham. https://doi.org/10.1007/978-3-319-45940-0_41

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  • DOI: https://doi.org/10.1007/978-3-319-45940-0_41

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45939-4

  • Online ISBN: 978-3-319-45940-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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