• DocumentCode
    679322
  • Title

    Improvement of moving objects detection in continued all-day illumination conditions using color invariants and color spaces

  • Author

    Murgia, Julian ; Meurie, Cyril ; Ruichek, Yassine

  • Author_Institution
    IRTES-SeT, UTBM, Belfort, France
  • fYear
    2013
  • fDate
    6-9 Oct. 2013
  • Firstpage
    1713
  • Lastpage
    1718
  • Abstract
    This paper presents the joint utilisation of the common subtraction technique "Codebook" and color invariants in order to perform a better detection of moving objects while dealing with difficult scenes, thus allowing a good tracking. We will observe the effects of the differents invariants we tested on images captured in outdoor scenes atmultiple moments of the day when we have to deal with important illumination and color changes. Our objective is to show the effectiveness of the common use of color invariants with a widely-used background subtraction algorithm, and give a preference rank of use.
  • Keywords
    image colour analysis; image motion analysis; lighting; object detection; object tracking; background subtraction algorithm; codebook subtraction technique; color changes; color invariants; color spaces; continued all-day illumination conditions; moving objects detection; object tracking; outdoor scenes; preference rank; Adaptation models; Brightness; Color; Image color analysis; Image segmentation; Light sources; Lighting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems - (ITSC), 2013 16th International IEEE Conference on
  • Conference_Location
    The Hague
  • Type

    conf

  • DOI
    10.1109/ITSC.2013.6728476
  • Filename
    6728476