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Robust Face Detection using AdaBoost and Saliency Identification
Xue Yuli,Mao Xia * #,Chang Qing
School of Electronic and Information Engineering, Beihang University
*Correspondence author
#Submitted by
Subject:
Funding: National Research Foundation for the Doctoral Program of Higher Education of China（No.No.20070006057）, National Nature Science Foundation of China （No.No.60873269 and No.60872062)）
Opened online:31 August 2010
Accepted by: none
Citation: Xue Yuli,Mao Xia,Chang Qing.Robust Face Detection using AdaBoost and Saliency Identification[OL]. [31 August 2010] http://en.paper.edu.cn/en_releasepaper/content/4382997
 
 
In this paper, a robust face detection method using AdaBoost and saliency identification is proposed. The key point of this method is that saliency identification is used after AdaBoost-based face detection to eliminate fake faces with low saliency, and this helps to decrease the false positives in face detection. Experimental results demonstrate that this method can achieve lower false positives than AdaBoost method.
Keywords:face detection; saliency identification; false positive
 
 
 

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