Description: 这是OpenCv的从摄像头读入数据的程序，其实程序中的capture结构初始化后，从视频文件或者摄像设备读入图像没有区别。-This is OpenCv the data read from the camera program, in fact, the capture structure of the program is initialized, the video file or video equipment from the read image is no different. Platform: |
Size: 31926272 |
Author:江明 |
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Description: 学习OpenCV例2-9 从摄像机读入数据源代码-Learning OpenCV Example 2-9 reads the data from the camera source code Platform: |
Size: 4096 |
Author:晓乐 |
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Description: 本程序是在vs2010+opencv的平台上运行的，利用的是opencv2.4.9，C++写的，该算法与传统跟踪算法的显著区别在于将传统的跟踪算法和传统的检测算法相结合来解决被跟踪目标在被跟踪过程中发生的形变、部分遮挡等问题。同时，通过一种改进的在线学习机制不断更新跟踪模块的“显著特征点”和检测模块的目标模型及相关参数，从而使得跟踪效果更加稳定、鲁棒、可靠。最后的得到的效果令人满意。-This program is run on a platform vs2010+opencv, the use of the opencv2.4.9, C++ written significant difference between this algorithm and the traditional tracking algorithm is the traditional tracking algorithm combining traditional detection algorithm to solve tracked targets It is deformed during tracking, partial occlusion and other issues. At the same time, through an improved online learning mechanism has been updated tracking module object model and related parameters " significant feature points" and the detection module, so that tracking was more stable, robust and reliable. The final was satisfactory. Platform: |
Size: 282624 |
Author:陈华 |
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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: |
Size: 66423808 |
Author:flypig1994 |
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