• DocumentCode
    3276112
  • Title

    A new approach to vehicle positioning based on region of interest

  • Author

    Yue Feng ; Cangju Xing

  • Author_Institution
    Inf. Sci. & Technol. Coll., Beijing Univ. of Chem. Technol., Beijing, China
  • fYear
    2013
  • fDate
    23-25 May 2013
  • Firstpage
    471
  • Lastpage
    474
  • Abstract
    An effective approach to vehicle detection based on region of interest is proposed. Initially, an excellent approach to region of interest determination is proposed through analyzing videos. It can eliminate environmental interference, and a region of interest with only vehicle and road is obtained. The method not only reduces the search range, but also eliminates a lot of false targets, so the follow-up vehicle location determination becomes very simple. Then, the potential vehicles are obtained by the shadow of vehicle and features of black tire. The experiments show that the method is simple and high accuracy, to meet the needs of daily aided driving.
  • Keywords
    computer vision; environmental factors; object detection; position control; road vehicles; roads; black tire features; daily aided driving; environmental interference; follow-up vehicle location determination; region of interest-based vehicle positioning; road; search range; vehicle detection; vehicle shadow; Adaptive optics; Image edge detection; Image segmentation; Integrated optics; Optical imaging; Roads; Vehicles; Computer Vision; Intelligent Vehicle; Region of Interest; Traffic Lane;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2013 4th IEEE International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2327-0586
  • Print_ISBN
    978-1-4673-4997-0
  • Type

    conf

  • DOI
    10.1109/ICSESS.2013.6615351
  • Filename
    6615351