• DocumentCode
    234382
  • Title

    Rotated Haar-Like features at generic angles for objects detection

  • Author

    Oualla, Mohamed ; Sadiq, Abdelalim ; Mbarki, Samir

  • Author_Institution
    Dept. of Inf., Ibn Tofail Univ., Kenitra, Morocco
  • fYear
    2014
  • fDate
    20-22 Oct. 2014
  • Firstpage
    351
  • Lastpage
    355
  • Abstract
    This paper propose a new approch to detect rotated object at distinct angles using the Viola-Jones detector. Our idea is based on three key points: The first is to propose a method allowing finding possible angles to rotate a normal Haar-Like feature, without destroy its sides. The tangent of each angle equal to an rational number i.e. each angle equal to arctan(Y/X) where Y and X are integers. The second point is manifested by the use of this rational number to determine the pixels forming the sides of the feature. In the latter, we propose a solution that makes use of this rational number to approximate the Integral image of a rotated feature at a generic angle.
  • Keywords
    Haar transforms; approximation theory; object detection; Viola-Jones detector; integral image approximation; rotated Haar-like features; rotated object detection; Classification algorithms; Detectors; Face detection; Feature extraction; Integral equations; Object detection; Haar-like feature; Integral image; Object detection; Viola and Jones algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Technology (CIST), 2014 Third IEEE International Colloquium in
  • Conference_Location
    Tetouan
  • Print_ISBN
    978-1-4799-5978-5
  • Type

    conf

  • DOI
    10.1109/CIST.2014.7016645
  • Filename
    7016645