摘要
为解决驾驶员疲劳检测问题,提出了一种快速人眼开闭状态识别方法。该方法通过肤色模型识别人脸区域,预处理后进行Gabor变换;通过选取合适的尺度和方向提取出眼部明显的灰度特征,对变换后的图像进行水平积分投影,眼部有明显的尖峰,进而通过峰平比识别人眼的开闭状态,突破了传统积分投影方法只能进行人眼定位的局限。实验表明,该算法具有较高的准确性,并对光照变化有较好的鲁棒性。
A fast eye opening and closing state recognition methed is presented to solve the problem of driver fatigue detection. Firstly, we identify the face region through the skin model. After pretreatment, we carry out Gabor transform. By choosing appropriate scale and orientation parameters, the region of eye has obvious characteristics of the gray. The region of eye has obvious peak after horizontal integral projection of the transformed image, we can recognize eye opening and closing state through the peak-to-average ratio. This way breaks through the limitation that the traditional integral projection method can only location the eye. Experiments show that the accurate of this algorithm is higher, and has good robustness to the changes of illumination.
出处
《吉林大学学报（信息科学版）》
CAS
2013年第6期555-561,共7页
Journal of Jilin University（Information Science Edition）
基金
国家自然科学基金资助项目(51075282)
辽宁省百千万人才工程基金资助项目(2009921090)
