计算机工程Issue(9)：254-257,276,5.DOI:10.3969/j.issn.1000-3428.2013.09.057
一种用于驾驶员疲劳检测的人眼检测方法
An Eye Detection Method for Driver Fatigue Detection
摘要
Abstract
In order to improve the accuracy of eye detection in driver fatigue detection system, this paper presents an eye detection method based on Cost-sensitive Support Vector Machine(CSVM). The feature vectors of eyes are extracted by Gabor filter after preprocessing, and its dimensionality is reduced by Principal Component Analysis(PCA). The resultant feature vectors are used to train a CSVM to classify the eye and no eye, so as to verify the candidate eye area. Experimental results show that the proposed method can reduce the error rate and improve the reliability of the classifier.关键词
人眼检测/特征提取/拒识代价/支持向量机/敏感分类器Key words
eye detection/feature extraction/rejection cost/Support Vector Machine(SVM)/sensitive classifier分类
信息技术与安全科学引用本文复制引用
徐欢,高雁凤,郑恩辉,富雅琼,孙坚,陈乐..一种用于驾驶员疲劳检测的人眼检测方法[J].计算机工程,2013,(9):254-257,276,5.基金项目
国家自然科学基金资助项目(60905034)；浙江省自然科学基金资助项目(Y1080950) （60905034）
