• DocumentCode
    525229
  • Title

    Eye detection based on rank order filter and projection function

  • Author

    Gan, Ling ; Liu, Qingjun

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Chongqing Univ. of Posts & Telecommun., Chongqing, China
  • Volume
    1
  • fYear
    2010
  • fDate
    25-27 June 2010
  • Abstract
    Eye detection is the preconditions for fatigue driving detection. In this paper, considering the deficiency of the origin algorithm based on rank order filter, an improved eye detection algorithm based on rank order filter and projection function is proposed. At first, according to the structure features and gray features, an ellipse mask combined with rank order filter is used to find the eye candidates initially. Then projection function is applied to excluding the no eye candidates and exactly locating eyes. By the comparative experiment of eye detection in the BioID face database, the results have shown the higher accuracy and efficiency of the improved algorithm.
  • Keywords
    eye; face recognition; traffic engineering computing; visual databases; BioID face database; ellipse mask; fatigue driving detection; gray features; improved eye detection algorithm; projection function; rank order filter; structure features; Computer science; Detection algorithms; Educational institutions; Eyes; Face detection; Fatigue; Filters; Gallium nitride; Road accidents; Telecommunication computing; ellipse mask; eye candidates; eye detection; projection function; rank order filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Design and Applications (ICCDA), 2010 International Conference on
  • Conference_Location
    Qinhuangdao
  • Print_ISBN
    978-1-4244-7164-5
  • Electronic_ISBN
    978-1-4244-7164-5
  • Type

    conf

  • DOI
    10.1109/ICCDA.2010.5540901
  • Filename
    5540901