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
Link To Document