摘要
驾驶员疲劳状态的监控中,眼睛的状态检测是关键环节。在对眼睛进行定位的同时计算眼睛的状态,并采用kalman滤波方法对人眼进行预测和跟踪。实验证明该算法能有效和准确地检测到眼睛的位置和状态,同时算法需要的处理时间较少,可满足实时性的要求。
The detection of eye state is the practical stage in the monitoring of driver fituge. This paper, locate the eye and comput the degree of eye opening level at the same time. Kalman filter tracker is implemented to continuously monitor the driver visual attention. Experimental results show the effectiveness and accuracy of the algorithm. At the same time, the moderate of time consuming meet the requirement of fast work.
出处
《计算机与数字工程》
2009年第8期135-137,182,共4页
Computer & Digital Engineering
基金
广州市科技计划项目(编号:2006V41C0901)资助
