疲勞駕駛監(jiān)測(cè)系統(tǒng)中人眼定位技術(shù)研究Human-eye det

在疲勞駕駛檢測(cè)中,對(duì)眼部狀態(tài)的判斷是關(guān)鍵的步驟之一。為了對(duì)眼部狀態(tài)進(jìn)行有效
的識(shí)別，本文提出了一種新穎可行的眼部狀態(tài)定位識(shí)別方法。利用灰度投影曲線與灰度直方圖預(yù)測(cè)初始閾值思想進(jìn)行人眼檢測(cè)。試驗(yàn)結(jié)果表明，該方法易于實(shí)現(xiàn),準(zhǔn)確度高，速度快, 具有計(jì)算簡(jiǎn)單、快速、有效等優(yōu)點(diǎn),可滿足疲勞駕駛監(jiān)測(cè)系統(tǒng)中實(shí)時(shí)檢測(cè)的要求。關(guān)鍵詞：灰度投影曲線；灰度直方圖；人眼定位；疲勞檢測(cè)

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