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此程式碼可以用來偵測人類嘴巴,使用opencv和visualc++2005去實作.-This code can be used to detect the human mouth, using opencv and visual c++ 2005 to implement
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在做行人检测的毕设 看了很久OPENCV中cvhog的代码 自己加了些注释 希望对大家有所帮助 有问题可以探讨 chjb_0513@yahoo.com.cn-pedestrian detection OPENCV cvhog source code annotations
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基于opencv的行人检测，用到了svm,haar特征-Opencv-based pedestrian detection, use the svm, haar features, etc.
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检测摄像头中的行人。使用OPENCV 默认的SVM分类器-Pedestrian detection in the camera. Use the default SVM classifier OPENCV
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VC6.0 + QT4 + OpenCV 环境。演示视频地址http://v.youku.com/v_show/id_XMzA3MTU2Mzky.html
(低角度车流量检测器)一种基于车头特征的车辆检测，很好的应用于低角度摄像机。与地感线圈车检器相比，解决了跟车问题。与传统基于背景建模的检测方法相比，解决了道路拥堵问题并解决了传统方法受限于摄像机必须架设很高的问题。同时能有效去除自行车、摩托车、行人的干扰，准确率可达95 。 all rights reserved by birdwcp-V
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本文主要介绍下opencv中怎样使用hog算法，因为在opencv中已经集成了hog这个类。其实使用起来是很简单的，从后面的代码就可以看出来。本文参考的资料为opencv自带的sample。
开发环境：opencv2.4.2+Qt4.8.2+ubuntu12.04+QtCreator2.5.
实验功能：
单击Open Image按钮，选择需要进行人检测的一张图片，确定后自动显示出来。该图片的大小没限制。
单击People Detect按钮，则程序会自动对该图片进
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opencv HaarTraining for Pedestrian Detection
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人脸及行人检测中在opencv中要用到的haarcascade_righteye_2splits.xml，即特征检测的haar分类器，包括正面，侧边，上下左右各种，很全面-Face and pedestrian detection in opencv use to haarcascade_righteye_2splits.xml, feature detection haar classifier, including front, side, up and down various, very
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简单使用opencv自带的行人检测功能，实现检测图片中的行人，在命令行执行操作。-Simple to use opencv comes with pedestrian detection function detection pictures of people, at the command line
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Linux下利用Opencv实现的行人检测算法！程序简答主要用的是opencv中SVM+HOG算法！-Linux using pedestrian detection algorithm Opencv realize! Program short answer is mainly used in the SVM+ HOG opencv algorithm!
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用VC++平台开发，用opencv开发，用于行人身体检测并且进行身体灰度化。-With VC++ platform, using opencv developed for pedestrian detection and perform physical body gray.
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opencv 行人检测中用第一次产生的分类器检测负样本，得出hardexample-The first pedestrian detection using opencv generated classifier to detect negative samples drawn hardexample
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基于Opencv的行人视频检测的代码，可以实现计数的功能-Video-based pedestrian detection code Opencv can realize the function of counting
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利用opencv中的hog算法模块，对单张图片进行行人检测-Using the hog algorithm in the opencv module, and pedestrian detection in a single image
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该代码是通过opencv来实现结合hog和lbp特征，通过支持向量机来进行分类决策时实现行人的检测代码，有兴趣的同学可以下载参考下！-The code is done by opencv combined with the feature of hog and LBP, by support vector machine (SVM) classification decisions to achieve the pedestrian detection code, students are in
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A program using the OpenCV library which takes a video file and preforms vehicle and pedestrian motion tracking and detection outlining all the moving objects in the video.
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关于opencv的有效边缘检测，用于行人检测或者物体的边缘检测-Effective edge detection on opencv for pedestrian detection or edge detection of objects
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该代码是基于opencv的行人检测代码,自己加了些注释,希望对大家有所帮助-The code is based on the opencv pedestrian detection code, added some notes, we want to help
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根据2005年Dalal提出HOG特征计算原理，自己编写了HOG特征提取算法，此特征可以用于目标检测中，包括行人检测，采用编程语言为C++，采用视觉库为opencv(According to the principle of HOG feature calculation proposed by Dalal in 2005, HOG feature extraction algorithm has been compiled. This feature can be used in object
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基于python语言实现opencv自带svm检测行人(Opencv takes SVM to detect pedestrians)
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