计算机工程 ›› 2008, Vol. 34 ›› Issue (24): 180-182.doi: 10.3969/j.issn.1000-3428.2008.24.063

• 人工智能及识别技术 • 上一篇    下一篇

面向驾驶员疲劳检测的双空间人眼定位方法

江水郎,杨 明   

  1. (上海交通大学自动化系,上海 200240)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2008-12-20 发布日期:2008-12-20

Eye Location Method for Driver Fatigue Detection in Dual Spaces

JIANG Shui-lang, YANG Ming   

  1. (Department of Automation, Shanghai Jiaotong University, Shanghai 200240)
  • Received:1900-01-01 Revised:1900-01-01 Online:2008-12-20 Published:2008-12-20

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。

关键词: 肤色检测, 虹膜检测, 圆卷积模板, 人眼定位

Abstract: 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.

Key words: skin-color detection, iris detection, convolution template, eye location

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