对拍摄得到的驾驶员视频帧图像, 使用复合肤色模型检测人脸 通过自适应边缘检测、 图像增强等方法处理得到 特征图像, 经特征区域筛选, 依据人脸先验知识匹配得到最佳人眼对 提取眼部特征向量, 结合 LVQ神经网络进行模式 识别检测眼部状态, 为判断驾驶员是否处于疲劳状态提供判据。-Video shot by the driver of the frame, the use of composite skin model of face detection through adaptive

基于vc++6.0和opencv1.0的人脸识别程序，通过网络摄像头采集视频并检测标记出人脸，利用MFC并将其实时显示在应用程序界面中。对于初学者掌握MFC编程有很大帮助-Based on vc++ 6.0 and opencv1.0 face recognition procedures, through the network video camera collection and detection marked face, using MFC and real-time display

This folder contains the following sub-folders which are essential in our project: 1.Raw Data All the raw data collected from Flagstaff hill, CMU Athletic Field, and Railroad on Neville St. 2.Filter Filter to rule out signal of Channel