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Example OpenCv
// Background average sample code done with averages and done with codebooks
// (adapted from the OpenCV book sample)
//
// NOTE: To get the keyboard to work, you *have* to have one of the video windows be active
// and NOT
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这片论文描述了动态物体的特征跟踪，用到了15个框架。拥有很强的适应性和跟踪能力。作为人脸识别，模式识别，动态跟踪的开发人员，有很好的参考价值。用c++编写，如果用OpenCV更好-This paper describes a visual object detection framework that is capable of processing
images extremely rapidly while achieving high detection rates. There ar
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基于Opencv的能够实现背景检测的程序，运行结果正确，对于学习目标检测的同学有帮助。-What can be achieved based on Opencv background detection process, the results correctly, test the students learning objectives help.
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This book provides a working guide to the Open Source Computer Vision Library (OpenCV) and also provides a general background to the field of computer vision suf- ficient to use OpenCV effectively.
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在VC6.0+OpenCV的实现背景差分目标检测的方法，很利于以后自己的学习！-VC6.0+ OpenCV background subtraction target detection method , it is conducive to learning !
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Codebook model 视频抠像 xp sp3 + vs2005 + OpenCV 2.3.1-For a more detailed explanation of a “codebook” model refer to [reference: Gary Bradski and Adrian Kaehler: Learning
Opencv, September 2008: First Edition. p. 278].
During the application of the
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有关于OpenCV的基础教程，比较适合初学者-Th is book provides a working guide to the Open Source Computer Vision Library
(OpenCV) and also provides a general background to the fi eld of computer vision suffi
cient to use OpenCV eff ectively.
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该资料中包含了《OpenCV By Example》中文版以及例程程序，该书的目录如下所示：
第1章 OpenCV的探险之旅;
第2章 OpenCV基础知识介绍;
第3章 图形用户界面和基本滤波;
第4章 深入研究直方图和滤波器;
第5章 自动光学检测、目标分割和检测;
第6章 学习目标分类;
第7章 识别人脸部分并覆盖面具;
第8章 视频监控、背景建模和形态学操作;
第9章 学习对象跟踪;
第10章 文本识别中的分割算法;
第11章 使用Tessera
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