• DocumentCode
    116474
  • Title

    Detecting moving objects from slowly moving viewpoint for automotive rear view camera systems

  • Author

    Kwon, Joonsoo ; Kim, Do-Sung

  • Author_Institution
    Korea Electron. Technol. Inst., Seongnam, South Korea
  • fYear
    2014
  • fDate
    10-13 Jan. 2014
  • Firstpage
    51
  • Lastpage
    52
  • Abstract
    Traditionally, moving object can be detected by using either background subtraction or optical flow methods. In most cases of moving camera, those methods introduce a lot of false-positives due to the stationary viewpoint assumption. In this paper, we suggest a method for moving object detection working with slowly moving background, specifically for the case of a vehicle´s backing up scenario. We implement the method and the detection result from a sequence is compared with an optical flow method.
  • Keywords
    automobiles; cameras; image motion analysis; image sequences; object detection; traffic engineering computing; automotive rear view camera systems; background subtraction; moving object detection; optical flow methods; slowly moving viewpoint; stationary viewpoint assumption; Adaptive optics; Computer vision; Image motion analysis; Object detection; Optical filters; Optical imaging; Optical saturation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics (ICCE), 2014 IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    2158-3994
  • Print_ISBN
    978-1-4799-1290-2
  • Type

    conf

  • DOI
    10.1109/ICCE.2014.6775903
  • Filename
    6775903