International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 1 - Number 23 |
Year of Publication: 2010 |
Authors: Dyut Kumar Sil, Subhadip Basu, Mita Nasipuri |
10.5120/543-707 |
Dyut Kumar Sil, Subhadip Basu, Mita Nasipuri . An adaptive fuzzy technique for real-time detection of multiple faces against a complex background. International Journal of Computer Applications. 1, 23 ( February 2010), 19-24. DOI=10.5120/543-707
This paper describes a real-time face detection system which is capable of processing video frames extremely rapidly while achieving high detection rate. The primary contribution of this paper is development of a fast algorithm for partitioning each frame into sub-images, detection of potential facial sub-images and real-time clustering of such potential sub-images into isolated objects/faces. A set of experiments in the domain of real-time face detection are presented. The performance of the system is comparable to some well known previous systems [5, 6, 8, 9]. Being implemented on a conventional desktop, face detection could be done at the rate of 13 frames per second.