摘要
研究驾驶员疲劳检测中眼睛定位问题,眼睛的精确定位是驾驶员疲劳检测的前提。针对目前图像处理算法中的对眼睛难以精确定位,导致了驾驶员疲劳检测不准而得不到实际的应用,为了提高检测准确性,提出了一种改进的投影定位算法。首先采用数学形态学对人脸识别结果进行改进,然后根据眼睛和眉毛的位置特征对眼睛定位的结果进行改进,使眼睛定位的结果更精确。在Matlab平台上进行仿真,结果表明,改进后的算法人脸识别结果较好,眼睛定位精度高,为疲劳驾驶检测的推广提供了技术支持。
Research the Detection of Driver＇s Fatigue based on digital image processing.Precise positioning of the eyes is the premise of the driver fatigue detection.Driver fatigue detection based on image processing can not be used because of the inaccurate positioning of eyes.A modified projection location algorithm was proposed.In the paper,corrosion and swelling were used to optimize this algorithm.Vertical projection and horizontal projection were used to detect the location of eyes.At the same time,eye and eyebrow were distinguished by the location characteristics of them in the research.The experimental results show that the optimized algorithm is better than the old ones and provided technical support for the Detection of Driver＇s Fatigue.
出处
《计算机仿真》
CSCD
北大核心
2011年第11期311-314,共4页
Computer Simulation
基金
科技部科技型中小企业技术创新基金(09C26215102248)
关键词
疲劳检测
人脸检测
人眼定位
图像处理
Fatigue detection
Face reorganization
Eye detection
Image processing
