There has been an ever-increasing interest in research on traffic detection and traffic scene understanding based on computer vision, driven by the increasing processor speed and the increasing deployment of cameras. This field is of increasing relevance for the intelligent transport system (ITS). Therefore, there seems to be a real need for an analytical review of recent developments in this domain. We present here is a comprehensive review of video processing techniques state of the art for vehicle detection and tracking and an outlook to future research directions.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A survey of vision-based vehicle detection and tracking techniques in ITS


    Contributors:
    Liu, Yuqiang (author) / Tian, Bin (author) / Chen, Songhang (author) / Zhu, Fenghua (author) / Wang, Kunfeng (author)


    Publication date :

    2013-07-01


    Size :

    213683 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Vision-Based Preceding Vehicle Detection and Tracking

    Fu, C.-M. / Huang, C.-L. / Chen, Y.-S. | British Library Conference Proceedings | 2006


    Computer Vision-Based Vehicle Detection and Tracking

    Senthil Murugan, A. / Manoj Kumar, S. / Senthilrani, S. et al. | Springer Verlag | 2021




    Survey on Detection and Tracking of UAVs Using Computer Vision

    Wagoner, Amy R. / Schrader, Daniel K. / Matson, Eric T. | IEEE | 2017