The classification system with the evolutionary computation

Yohei Tomita, Satoru Suzuki, H. Fukai, R. Khosla, Y. Mitsukura
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引用次数: 1

Abstract

The purpose of this paper is to obtain the object. In particular, we focus on the face detection. By using the proposed method, we recognize faces with a near-infrared (NIR) camera. The face detection that used images from the NIR camera is comparatively difficult to be done, because they are gray scale images. In this paper, the filter by using the GA is designed for the purpose of getting the faces. The method of detecting faces and the position from the NIR images is proposed in the on-line image. It is demonstrated that our approach is effective for vehicle driver monitoring. Finally, it was confirmed that the proposed method works well.
基于进化计算的分类系统
本文的目的是为了获得对象。我们特别关注了人脸检测。利用该方法实现了近红外相机的人脸识别。使用近红外相机的图像进行人脸检测比较困难,因为它们是灰度图像。本文设计了基于遗传算法的人脸提取滤波器。提出了在在线图像中利用近红外图像检测人脸和位置的方法。结果表明,该方法对车辆驾驶员监控是有效的。最后,验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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