Description: 基于opencv开源图像库作的一个背景检测的程序，要在图像处理软件中使用的加，对算法作了改进-opencv revenue based on the images for the detection of a background procedure, in the image processing software used in Canada, the algorithm has been improved Platform: |
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Author:lizhi |
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Description: 该程序利用opencv图像处理库编写了用于检测运动目标的程序。采用的目标提取算法是背景减除法-The program using opencv image-processing library was prepared for the detection of moving targets in the process. Object extraction algorithm used in background subtraction method are Platform: |
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Author:panda |
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Description: Forward-Backward MHI(前后向运动历史图)是一个快速有效的运动目标检测方法，本程序正是实现2006年Zhaozheng Yin and Robert Collins的“Moving Object Localization in Thermal Imagery
by Forward-backward MHI”文献中的方法。此程序可以很方便的对该方法的优缺点作出评判。给运动目标检测器的选择提供了除“帧间差”和“背景相减”外的又一方法。
本程序基于OpenCV。-Forward-Backward MHI (before and after the historical figure to the movement) is a fast and efficient moving target detection methods, this program is to achieve in 2006 Zhaozheng Yin and Robert Collins of the " Moving Object Localization in Thermal Imagery by Forward-backward MHI" in the literature method. This procedure can easily judge the advantages and disadvantages of the method. To the moving target detector choose to provide that except " bad frames" and the " background subtraction" another way outside. The program is based on OpenCV. Platform: |
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Author:huangjian |
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Description: 总结的OPencv代码。图像warp,rotation.H_S直方图。滑动条设定阈值进行轮廓检测。在输入图像上检测轮廓。还有平均背景法。是txt格式，只需要把后缀名编程.cpp即可。-The summarized OPencv code. Image warps, rotation.H_S histogram. Slider to set the threshold for contour detection. Detect the contours in the input image. Average background method. Txt format, just need to program extension cpp, you can. Platform: |
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Author:Judyjava |
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Description: 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Tesseract识别文本;(The archive contains the Chinese version of "OpenCV By Example" and the example program. The contents of this book are as follows:
Chapter 1 An expedition to OpenCV;
Chapter 2 OpenCV basic knowledge introduction;
Chapter 3 Graphical user interface and basic filtering;
Chapter 4 In-depth study of histogram and filter;
Chapter 5 Automatic optical detection, object segmentation and detection;
Chapter 6 Learning object classification;
Chapter 7 Identify the face part and cover the mask.
Chapter 8 Video surveillance, background modeling and morphological operation.
Chapter 9 Learning object tracking;
Chapter 10 The segmentation algorithm in text recognition;
Chapter 11 Using Tesseract to identify the text;) Platform: |
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Author:flypig1994 |
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Search - background detection program in opencv