• DocumentCode
    1577604
  • Title

    Adaptive median filter background subtractions technique using fuzzy logic

  • Author

    Mohamad, Auday A. H. ; Osman, Mohamed

  • Author_Institution
    Fac. of Eng. Sci., Omdurman Islamic Univ., Khartoum, Sudan
  • fYear
    2013
  • Firstpage
    115
  • Lastpage
    120
  • Abstract
    This paper is based on the median filter algorithm that is considered one of the most commonly used algorithms in the field of background subtraction. In order to make the median filter algorithm adaptive with sudden change in surrounding circumstances a fuzzy logic inference system has been developed to make the parameters of Median Filter algorithm adaptive to the changes of sudden circumstances that surrounding the moving object to detach it from the background. Experimental results demonstrate that the fuzzy inference system is very efficient and robust.
  • Keywords
    adaptive filters; fuzzy logic; fuzzy reasoning; image motion analysis; median filters; video signal processing; adaptive median filter background subtraction technique; fuzzy logic inference system; moving object; Adaptation models; Algorithm design and analysis; Engines; Filtering algorithms; Fuzzy logic; Hidden Markov models; Subtraction techniques; Background subtraction; Fuzzy classification; Median filter; Object tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Electrical and Electronics Engineering (ICCEEE), 2013 International Conference on
  • Conference_Location
    Khartoum
  • Print_ISBN
    978-1-4673-6231-3
  • Type

    conf

  • DOI
    10.1109/ICCEEE.2013.6633917
  • Filename
    6633917