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视频流中的人脸跟踪以及眼睛定位使用OPENCV.rar,Video streaming in the face and eye position tracking using OPENCV.rar
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基于OpenCV的人眼识别定位与跟踪。本例是为了实现驾驶员疲劳驾驶的识别，通过对眼睛的运动状态来判别疲劳程度,OpenCV on the human eye to identify the location and tracking, which in this case the driver is tired of driving in order to achieve the recognition, through the movement of the eyes to determine
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在openCV环境下，实现了一种简易的人眼跟踪的算法，是新生学习的很好的例子。-In openCV environment, implements a simple algorithm for eye tracking is a good example of new learning.
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使用OPENCV实现视频流中的人脸跟踪以及眼睛定位-The use of video streaming OPENCV implementation of the Human Face Tracking and Eye Location
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simple program in VC++ using openCV to eye-tracking
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Tracking a user defined template in an image (such as user s eye) for computer vision application. Built using OpenCV
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eye tracking in opencv visual studio 2005
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在VC6.0环境下，借助openCV函数库，对视频中的人脸进行检测，并实时跟踪，然后用Haar特征的分类器定位人脸，并检测瞳孔存在与否，提取关于眼睛的疲劳信息-In VC6.0 environment, with the aid of openCV function library, to detect human faces in video, and real-time tracking, positioning and use characteristics of Haar classif
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eyes tracking via webcam-Code based on openCV http://thume.ca/projects/2012/11/04/simple-accurate-eye-center-tracking-in-opencv/
Thanks the authors! It s very helpful!
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人眼中心定位是一个用于眼部追踪的算法，C++语言实现，依赖OpenCV库。
关于代码的编译，提供了CMakeLists.txt文件，同时支持Windows，Linux和Mac OS X。
该项目从网络摄像头读取视频，进行人脸检测，再根据检测到的人脸图像截取左眼和右眼的ROI区域，最后根据截取到的ROI进行眼球中心检测与跟踪。所以算法的主要包含三个部分：人脸检测，ROI截取，眼球中心定位。(The estimation of the eye centres is used in sever
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