Driver Eyes Identification Based on Infrared Illuminator

Wei Di, Rong-ben Wang
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引用次数: 6

Abstract

Driver fatigue and decentralization of spirit at night is a major factor causing the night-time traffic accident. Eyes locations are the precondition to monitor driver's fatigue state with image processing technique. Based on Otsu threshold segmentation algorithm, with the help of horizontal projection and vertical projection in binary image, the paper locates the driver face region accurately, and establishes eyes location based on the region labeling algorithm. The paper using Laplace edge detection gets eyes contours points, and then fits these points by ellipse fitting. Experiments have proved good reliability and validity of the algorithms.
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基于红外照明器的驾驶员眼睛识别
驾驶员疲劳和夜间精神涣散是造成夜间交通事故的主要因素。人眼定位是利用图像处理技术监测驾驶员疲劳状态的前提。基于Otsu阈值分割算法,借助二值图像中的水平投影和垂直投影,准确定位驾驶员面部区域,并基于区域标记算法建立人眼位置。本文利用拉普拉斯边缘检测方法得到眼睛轮廓点,然后对这些点进行椭圆拟合。实验证明了算法的可靠性和有效性。
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