CAJ | 학술논문

对驾驶人疲劳状态监测技术进行了深入研究,分析了在实际应用中存在的问题,在此基础上提出基于灰度方差定位驾驶人面部,利用投影曲线极点位置分割面部器官独立区域,对每一个独立区域进行OSTU计算和轮廓提取,最终获得眼睛的轮廓状态,利用PERCLOS判断驾驶人的精神状态.利用驾驶人面部器官定位的结果,对人体头部旋转运动模型进行分析,提出了计算驾驶人面部旋转角度的计算方法.最后给出判断驾驶人的注意力是否分散的判断策略.试验结果表明,该算法实时性好,具有较好的鲁棒性,可以为驾驶人疲劳状态及注意力状态的判断提供较为准确的依据.
대가사인피로상태감측기술진행료심입연구,분석료재실제응용중존재적문제,재차기출상제출기우회도방차정위가사인면부,이용투영곡선겁점위치분할면부기관독립구역,대매일개독립구역진행OSTU계산화륜곽제취,최종획득안정적륜곽상태,이용PERCLOS판단가사인적정신상태.이용가사인면부기관정위적결과,대인체두부선전운동모형진행분석,제출료계산가사인면부선전각도적계산방법.최후급출판단가사인적주의력시부분산적판단책략.시험결과표명,해산법실시성호,구유교호적로봉성,가이위가사인피로상태급주의력상태적판단제공교위준학적의거.
The monitoring technology for fatigue state of driver and the problem in the process of actual application were studied.On this basis,a new algorithm based on gray variance was presented to locate the face of driver.This algorithm uses the location of the extreme point in the projective curve to divide the facial organs into separate areas,dealt with the areas based on OSTU algorithm and extract the organs'contours,and obtain the location of the eye's contours.The mental state of the driver Was determined by PERCLOS.Then,based on the result of the loeation of the facial organs of the driver,the rotary motion of the head was analysed,and an algorithm for calculating the facial rotary angle of the head Was proposed.Finally,a strategy for judging whether the driver's attention is disturbed or not Was obtained.The experiment result confirms that this algorithm has good real-time performance,greater robustness and can provide a more accurate basis for analyzing the driver's fatigue state and attention state.