• DocumentCode
    511080
  • Title

    Muslim Prayer Actions Recognition

  • Author

    El-Hoseiny, M.H. ; Shaban, Eman

  • Author_Institution
    Comput. Syst. Dept., Ain Shams Univ. Abbassia, Cairo, Egypt
  • Volume
    1
  • fYear
    2009
  • fDate
    28-30 Dec. 2009
  • Firstpage
    460
  • Lastpage
    465
  • Abstract
    Action recognition is one of the most interesting research areas in the last decade. A wide variety of models were proposed in the context of developing human action recognition systems. In this paper we focus on Muslim prayer actions recognition. We present a system capable of recognizing major postures and actions performed by a Muslim normally during the prayer, an unexplored area in the action recognition field. The paper presents the details of the system implementation phases and the proposed techniques used for detection. The system was tested against a custom data set and an accuracy exceeding 93.5% was recorded. The paper is concluded by the challenges and thoughts concerning future extensions of this work.
  • Keywords
    gesture recognition; humanities; Muslim prayer actions recognition; human action recognition systems; Cameras; Context modeling; Education; Feature extraction; Handicapped aids; Hidden Markov models; Humans; Mobile robots; Object detection; Phase detection; Action Recognition; Computer Vision; Muslim Prayer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Electrical Engineering, 2009. ICCEE '09. Second International Conference on
  • Conference_Location
    Dubai
  • Print_ISBN
    978-1-4244-5365-8
  • Electronic_ISBN
    978-0-7695-3925-6
  • Type

    conf

  • DOI
    10.1109/ICCEE.2009.68
  • Filename
    5380431