• DocumentCode
    3034633
  • Title

    A new algorithm of background image extraction and update in the vehicle detection system

  • Author

    Yang, Zhiqi

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Tianjin Univ., Tianjin, China
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    5238
  • Lastpage
    5241
  • Abstract
    To improve the rate of vehicle recognition, this article proposed a new improved Surendra background update algorithm, then accomplished the experiment comparison under the different environment with the traditional multi-frame image average background update algorithm. The experimental results indicated that the new improved Surendra background update algorithm has the obvious comprehensive superiority compared to the old algorithm, it can gain the accurate background image, and carry on the background image update effectively, then increases the rate of vehicle recognition.
  • Keywords
    feature extraction; image recognition; vehicles; Surendra background update algorithm; background image extraction; multiframe image; vehicle detection system; vehicle recognition; Algorithm design and analysis; Image recognition; Object recognition; Real time systems; Signal processing algorithms; Vehicle detection; Vehicles; background extraction; background update; vehicle detection; vehicle recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Technology (ICMT), 2011 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-61284-771-9
  • Type

    conf

  • DOI
    10.1109/ICMT.2011.6002301
  • Filename
    6002301