Face detection using PCA and skin-tone extraction for drowsy driver application

被引：0

作者：

Hamdy, Ahmed ^{[1
]}

Elmahdy, Mohamed ^{[2
]}

Elsabrouty, Maha ^{[1
]}

机构：

[1] German Univ, Dept Commun, Fac Engn, IET, Cairo, Egypt

[2] German Univ, Fac Engn, Dept Comp Sci MET, Cairo, Egypt

来源：

MEDIA CONVERGENCE: MOVING TO THE NEXT GENERATION | 2007年

关键词：

drowsy driver; face detection; principal component analysis; skin tone;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Face detection plays a huge role in many applications such as security, surveillance and Human-Computer interface. This paper presents a new face detection for the purpose of Drowsy Driver Assistant System. The algorithm is based on a combination two different principles of detection, namely detection of skin color and modified PCA analysis. The algorithm has shown improved performance compared to using either of the principles alone and is performing well under different lighting conditions.

引用

页码：135 / 137

页数：3

共 17 条

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