1、外文标题： The Driver Fatigue Monitoring System Based on Face Recognition Technology 外文作者： Xiao-qing Luo , Rong Hu, Tian-e Fan 文献出处 :International Conference on Intelligent Control & Information Processing 英文 2486 单词， 12908 字符，中文 3769 汉字。 此文档是外文翻译成品，无需调整复杂的格式哦！下载之后直接 可用，方便快捷！只需二十多元。
2、;原文： The Driver Fatigue Monitoring System Based on Face Recognition Technology Xiao-qing Luo , Rong Hu, Tian-e Fan Abstract This paper uses different algorithms, which are called AdaBoost algorithm and the difference between infrared frames algorithm, to locate the precise position of the eyes
3、 in different light environment of driving. We identify the eyes status by extracting the characteristic parameters of eyes and detect fatigue based on the method of PERCLOS. At the same time, tfurther test the driver's fatigue, we use the Local Binary Patter (LBP) algorithm to detect the yawnin
4、g as an aided detection. The results of the experiment show that algorithm ensures the accuracy of the system and it can achieve the requirement of non contact type, different lighting conditions and real-time detection. Keywords:Driver fatigue; Yawning detection; Eye detection; PERCLOS; AdaBoost. I
5、ntroduction Nowadays, fatigue driving is one of the main reasons for traffic accidents 1. Its reported that there were 3906164 traffic accidents in 2010 in our country. Among them, 92% of accident deaths were caused by motor vehicle driver speeding, while most of accident deaths caused by the fatigu
6、e driving roses 1% 2. At present, there are already some methods of fatigue testing such as testing through the position of head, EEG, EKG, eye blinking, PERCLOS and so on 3. And as a non-contact method, PERCLOS method is able to reflect peoples situation of eyelids and their degree of fatigue when they are sleepy, but its easy to be influenced by the lighting. This paper analyzes the brightness of picture which is taken by CCD camera to estimate day or night. We utilize AdaBoost algorithm to locate people's face
