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疲劳驾驶监测系统中人眼定位技术研究Human-eye det
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在疲劳驾驶检测中,对眼部状态的判断是关键的步骤之一。为了对眼部状态进行有效
的识别，本文提出了一种新颖可行的眼部状态定位识别方法。利用灰度投影曲线与灰度直方图预测初始阈值思想进行人眼检测。试验结果表明，该方法易于实现,准确度高，速度快, 具有计算简单、快速、有效等优点,可满足疲劳驾驶监测系统中实时检测的要求。关键词：灰度投影曲线；灰度直方图；人眼定位；疲劳检测
Abstract：During Driver Fatigue State Surveillance, Eye State Recognition is one of the committed steps.In order to recognize the eye state effectively，a novel method of eye state position recognition is proposed. Using gray project curve and VGH to detect the human-eye. Theexperimental results indicate that this method bare low complexity, high accuracy, high speed, easily and effectively to calculate. It satisfiers the real time detection during driver fatigue monitoring system.
Key words:Gray projection curve;Histogram;the position of the eye;Human-eye orientation;
Fatigue detect
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