摘要
通过人眼图像来检测驾驶员疲劳驾驶是目前的主流方向,面部及眼睛定位是其中关键的环节。针对驾驶员疲劳检测系统,结合图像处理和模式识别技术,提出一种基于人脸面部特征的人眼定位方法。经实验验证:该方法实时性好,可用于不同背景、光照、旋转和偏转角度,以及睁闭眼、戴眼镜等多种复杂条件下的眼睛定位。
Whether a driver is fatigued can be reflected by his eyes during the course of driving,so it is practical to use the information about the driver＇s eyes to monitor driver＇s fatigue state,and among this,eye location is the key problem. Based on the existing eye location algorithms and image processing technology, specifically for the driver fatigue state surveillance system, this text proposed a method based on facial features. The experiment results show that this method is robust and real-time,and adapts for human face in different conditions such as different backgrounds, different light conditions, different size and rotating angles, open and close eyes, wear glasses or not.
出处
《仪表技术与传感器》
CSCD
北大核心
2007年第1期60-62,共3页
Instrument Technique and Sensor
基金
广东省自然科学基金(04020073)
关键词
人眼定位
图像处理
面部特征
几何约束
阈值
eye location
image processing
facial feature
geometry restriction
thresholding
