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A Study on the Performance Enhancement of Face Detection using SVM  

Lee Chi-Ceun (원광대학교 컴퓨터공학과)
Jung Sung-Tae (원광대학교 전기전자 및 정보공학부)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.9, no.2, 2005 , pp. 330-337 More about this Journal
Abstract
This paper proposes a method which improves the performance of face detection by using SVM(Support Vector Machine). first, it finds face region candidates by using AdaBoost based object detection method which selects a small number of critical features from a larger set. Next it classifies if the candidate is a face or non-face by using SVM(Support Vector Machine). Experimental results shows that the proposed method improve accuracy of face detection in comparison with existing method.
Keywords
Face Detection; AdaBoost; SVM;
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