摘要
驾驶疲劳可以从眼睛的状态中反映出来,而眼睛定位是判断眼睛状态的关键。为解决眼睛定位实时性和头部旋转不确定性问题,该文提出一种基于双空间的眼睛定位方法:在彩色空间中采用肤色特征快速检测人脸,在此基础上使用饱和度和亮度特征快速检测虹膜。针对非开眼问题,在灰度空间中使用自定义圆卷积模板法定位眼睛。实验结果表明,该方法定位正确率为94.67%,能够满足实时性要求,对戴眼镜、头部旋转、光照变化具有一定的鲁棒性。
Drowsy driving can be detected by the eye states. Eye location is the key problem for eye states detection. In order to improve real-time performance and solve uncertainty of head gesture, an eye lactation detection method based on dual spaces is proposed. Characteristics of skin-colors are used to detect face and saturation and lightness are used to detect the iris. Custom convolution template is used to locate no-close eye. Experimental results show that the correction rate of the algorithm is 94.76% and it is robust to faces with glasses, illumination changing, head gesture with good real-time performance.
出处
《计算机工程》
CAS
CSCD
北大核心
2008年第24期180-182,共3页
Computer Engineering
基金
上海市科委登山计划基金资助项目(062107035)
上海市科委浦江人才计划基金资助项目(07pj14055)
关键词
肤色检测
虹膜检测
圆卷积模板
人眼定位
skin-color detection
iris detection
convolution template
eye location
