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OpenCV people detect
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Change detection by background subtraction is a
common approach to detect moving foreground. The
resulting difference image is usually thresholded to obtain
objects based on pixel connectedness and resulting blob
objects are subsequently trac
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一个实时的2维人体检测跟踪算法，是opencv源码里参考的文章之一。内容包括表面模型建立，新目标检测以及匹配的问题。-A Real-Time System for Detecting and
Tracking People in 2D, is one of the references in opencv, including the appearance model, new object detect and how to find the corresponding one.
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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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pedestrian tracking/ this post about how to use OpenCV s HOG-based pedestrian detector: How can I detect and track people using OpenCV? ... of opencv. that said it should be easy to hack the opencv source code
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opencv people detect sample
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基于Hog特征和SVM分类器进行人检测(opencv自带训练分类器)-Based on Hog and SVM classifier is used to detect the people
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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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