Face Detection from Near-Infrared Camera Images for Driver Dozing

被引：0

作者：

Mitsukura, Yasue ^{[1
]}

Fukai, Hironobu ^{[1
]}

Fukumi, Minoru ^{[2
]}

机构：

[1] Tokyo Univ Agr & Technol, Koganei, Tokyo 1848588, Japan

[2] Univ Tokushima, Tokushima 7708506, Japan

来源：

INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL | 2008年 / 11卷 / 06期

关键词：

genetic algorithm (GA); gabor wablet; face detection; near-ingrared camera;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Recently, the research to handle face information with computer is being done. Therefore, how to search the face area automatically is very important. For this problem, there are many problems to get the faces. However these researches are for color image. There are few researches using the near-infrared camera. The purpose of this research is to recognize a face with a near-infrared camera. The face detection that used images from near-infrared camera is comparatively difficult to be donning, because they are gray scale images. In this paper, the filter by using GA is designed, and the method of detecting the face and the position front the near-infrared images is proposed. It is demonstrated that our approach is effective for vehicle driver monitoring.

引用

页码：805 / 810

页数：6

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