DOIONLINE 
DOIONLINE Publish In |
International Journal of Soft Computing And Artificial Intelligence (IJSCAI)-IJSCAI |
 Journal Home Volume Issue |
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Issue |
Volume-2,Issue-1 ( May, 2014 ) | |||||||||
Paper Title |
Real Time Face Detection And Tracking Using Opencv | |||||||||
Author Name |
Mamata S.Kalas | |||||||||
Affilition |
Associate Professor, Department of IT, KIT’S College of Engg., Kolhapur | |||||||||
Pages |
41-44 | |||||||||
Abstract |
Abstract: Face detection which is the task of localizing faces in an input image is a fundamental part of any face processing system. The aim of this paper is to present a review on various methods and algorithms used for face detection etc. Three Different algorithms i.e. Haar cascade, adaboost, template matching were described Finally it includes some of applications of face detection. In this paper, we represent a methodology for face cdetection robustly in real time environment. Here we use Harr like classifier and adaboost algorithm to track faces on OpenCV platform which is open source and developed by Intel. | |||||||||
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