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Description: This article is an extention of an article that I posted on CodeProject earlier (See http://www.codeproject.com/KB/mcpp/iss.aspx). This project demonstrates how to perform human face and eye detection using OpenCV in .NET. The detection is performed using Haar Cascades that I acquired from two different sources (See References).
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Author: 萧董 |
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Description: 一个由zafersavas于2008年完成的完全基于VC++6实现的人脸检测和人眼跟踪程序，通过设置相应的参数实现不同的功能。人脸跟踪中使用了camshift算法和Haar算法，眼睛检测中使用了自适应PCA算法和模板匹配算法，还支持文件和网络摄像头两种输入方式，经过试验，检测速度比较快和准确度也比较高。附带demo程序。 使用步骤： 菜单TrackEye Menu --> Tracker Settings 输入源Input Source: video 选择文件输入指定为： ..\Avis\Sample.avi 人脸检测算法（Face Detection Algorithm）: Haar Face Detection Algorithm 选中 “Track also Eyes” checkBox 眼睛检测算法（Eye Detection Algorithm）: Adaptive PCA 取消选择 “Variance Check” Number of Database Images: 8 Number of EigenEyes: 5 Maximum allowable distance from eyespace: 1200 Face width/eye template width ratio: 0.3 ColorSpace type to use during PCA: CV_RGB2GRAY 瞳孔检测设置（Settings for Pupil Detection） Check “Track eyes in details” and then check “Detect also eye pupils”. Click “Adjust Parameters” button: Enter “120” as the “Threshold Value” Click “Save Settings” and then click “Close” Settings for Snake Check “Indicate eye boundary using active snakes”. Click “Settings for snake” button: Select ColorSpace to use: CV_RGB2GRAY Select Simple thresholding and enter 100 as the “Threshold value” Click “Save Settings” and then click “Close”
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Author: sichuanlu |
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Description: This article is an extention of an article that I posted on CodeProject earlier (See http://www.codeproject.com/KB/mcpp/iss.aspx). This project demonstrates how to perform human face and eye detection using OpenCV in .NET. The detection is performed using Haar Cascades that I acquired from two different sources (See References). -This article is an extention of an article that I posted on CodeProject earlier (See http://www.codeproject.com/KB/mcpp/iss.aspx). This project demonstrates how to perform human face and eye detection using OpenCV in. NET. The detection is performed using Haar Cascades that I acquired from two different sources (See References).
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Size: 25600 |
Author: 萧董 |
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Description: It is haar features for eye detection
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Size: 5120 |
Author: steve |
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Description: eyedetection code which first detects a face ,then creates an roi near the eye region and detects an eye.This uses the Haar classifiers in OPEN CV
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Size: 1065984 |
Author: hari |
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Description: 眨眼检测，先用haar特征框定人脸，然后用camshift跟踪人脸，根据几何特征得到人眼的大概位置，然后根据直方图的变化检测眨眼-Blink detection, the first feature with the haar framed face, and then use camshift tracking human face, according to the geometric features are the approximate location of the human eye, and then change detection histogram blink of an eye
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Size: 5120 |
Author: 阿强 |
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Description: A haar cascade for eyes written in XML for opencv and eye detection
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Size: 4096 |
Author: Hala |
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Description: Face and Eyes Detection Using OpenCV.
Introduction
This article is an extension of an article that I posted on CodeProject earlier. This project demonstrates how to perform human face and eye detection using OpenCV in .NET. The detection is performed using Haar Cascades that I acquired from two different sources
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Size: 1294336 |
Author: reyjav |
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Description: haar-like 特征 人眼检测跟踪C语言代码-haar-like features of eye detection
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Size: 205824 |
Author: sunbo |
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Description: Adaboost算法的基本思想是:利用大量的分类能力一般的弱分类器(weakerifier)通过一定的方法叠加(boost)起来，构成一个分类能力很强的强分类器眼eClassifier)，再将将若干个强分类器串联成为分级分类器(ClassifierCaseade)图像搜索检测。本文就是利用Adaboost算法将由类haar特征生成的弱分类器成为强分类器，再将强分类器串联成为分级分类器。
-The basic idea of Adaboost algorithm is: classification ability of a large number of weak classifier (weakerifier) superimposed by a certain method (boost) together constitute a classification of very strong classifier the eye eClassifier), then will a number of strong The classifiers series Classification (ClassifierCaseade) image search detection. This article is the use of a weak classifier Adaboost algorithm will be generated by the class of haar features a strong classifier, then the strong classifier in series to become a hierarchical classifier.
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Author: chenhebingb |
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Description: 非常好的人脸以及人眼检测的例子。OpenCV支持的目标检测的方法是利用样本的Haar特征进行的分类器训练，得到的级联boosted分类器（Cascade Classification）。注意，新版本的C++接口除了Haar特征以外也可以使用LBP特征。-Very good example of the human face and the human eye to detect. OpenCV supported target detection method is carried out using samples of Haar features classifier training obtained cascade boosted classifier (Cascade Classification). Note that the addition to the Haar features the new version C++ interface LBP feature can also be used.
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Author: 皇城圣骑士 |
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Description: 训练好的分类器，有人脸，人眼，倾斜的人脸等等。是基于haar特征的。-Trained classifier, it was the face, eye, face, and so inclined. Is based on haar feature.
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Size: 1503232 |
Author: 沈东 |
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Description: 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 classifier faces, and examine the pupil existence, to extract the information about the fatigue of the eye
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Author: heiying |
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Description: 基于haar级联分类器的opencv人眼识别程序，思路是先识别人脸，然后以人脸为ROI识别人眼。-Haar cascade classifier based on opencv human eye recognition program, the idea is to recognize faces, and then face the human eye to identify the ROI.
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Size: 3072 |
Author: 邓达 |
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Description: 基于opencv的haar+adaboost训练器的人脸和人眼检测，带有训练好的xml文件。-Opencv based haar+ adaboost face and eye detection trainer, having trained xml file.
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Size: 1642496 |
Author: 徐恒 |
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Description: opencv人眼检测算法，此算法是基于haar分类器的简单算法，可以实现摄像头视频的实时监测。算法简单但是很是实用，所以上传与大家分享-opencv eye detection algorithm, which is a simple algorithm based on haar classifier, can achieve real-time video surveillance camera. Algorithm is simple but very practical, so upload to share with you
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Size: 1024 |
Author: 少年狐 |
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