• DocumentCode
    2907430
  • Title

    An improved algorithm for dynamic face detection

  • Author

    Goras, B.T. ; Vieriu, R.L.

  • Author_Institution
    Gheorghe Asachi Tech. Univ., Iaşi, Romania
  • fYear
    2012
  • fDate
    15-16 Nov. 2012
  • Firstpage
    255
  • Lastpage
    258
  • Abstract
    The purpose of this paper is to present an improved version of Viola & Jones [1] face detection algorithm, characterized by the fact that the weak classifier generation uses two threshold levels, depending on the positive examples distributions only. The algorithm was implemented in Matlab, and is able to dynamically detect faces in 240×320 webcam frames within 100ms.
  • Keywords
    face recognition; learning (artificial intelligence); AdaBoost; Matlab; dynamic face detection; picture size 240 pixel; picture size 320 pixel; threshold levels; weak classifier generation; webcam frames; Face; Face detection; Feature extraction; Heuristic algorithms; Memory management; Optimization; Testing; Adaboost; Face detection; weak classifier;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics and Telecommunications (ISETC), 2012 10th International Symposium on
  • Conference_Location
    Timisoara
  • Print_ISBN
    978-1-4673-1177-9
  • Type

    conf

  • DOI
    10.1109/ISETC.2012.6408062
  • Filename
    6408062
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2907430