Research Article
An adaptive fuzzy technique for real-time detection of multiple faces against a complex background
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 1 - Issue 23 |
| Published: February 2010 |
| Authors: Dyut Kumar Sil, Subhadip Basu, Mita Nasipuri |
10.5120/543-707
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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
@article{ 10.5120/543-707,
author = { Dyut Kumar Sil,Subhadip Basu,Mita Nasipuri },
title = { An adaptive fuzzy technique for real-time detection of multiple faces against a complex background },
journal = { International Journal of Computer Applications },
year = { 2010 },
volume = { 1 },
number = { 23 },
pages = { 19-24 },
doi = { 10.5120/543-707 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2010
%A Dyut Kumar Sil
%A Subhadip Basu
%A Mita Nasipuri
%T An adaptive fuzzy technique for real-time detection of multiple faces against a complex background%T
%J International Journal of Computer Applications
%V 1
%N 23
%P 19-24
%R 10.5120/543-707
%I Foundation of Computer Science (FCS), NY, USA
Abstract
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.
References
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