Description: 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 the consule window.
//
// Gary Bradski Oct 3, 2008.
//
/* *************** License:**************************
Oct. 3, 2008
Right to use this code in any way you want without warrenty, support or any guarentee of it working.
BOOK: It would be nice if you cited it:
Learning OpenCV: Computer Vision with the OpenCV Library
by Gary Bradski and Adrian Kaehler
Published by O Reilly Media, October 3, 2008
AVAILABLE AT:
http://www.amazon.com/Learning-OpenCV-Computer-Vision-Library/dp/0596516134
Or: http://oreilly.com/catalog/9780596516130/
ISBN-10: 0596516134 or: ISBN-13: 978-0596516130
************************************************** */-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 the consule window.
//
// Gary Bradski Oct 3, 2008.
//
/**************** License:**************************
Oct. 3, 2008
Right to use this code in any way you want without warrenty, support or any guarentee of it working.
BOOK: It would be nice if you cited it:
Learning OpenCV: Computer Vision with the OpenCV Library
by Gary Bradski and Adrian Kaehler
Published by O Reilly Media, October 3, 2008
AVAILABLE AT:
http://www.amazon.com/Learning-OpenCV-Computer-Vision-Library/dp/0596516134
Or: http://oreilly.com/catalog/9780596516130/
ISBN-10: 0596516134 or: ISBN-13: 978-0596516130
***************************************************/
Platform: |
Size: 3072 |
Author:Jason |
Hits:
Description: 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 are three
key contributions. The first is the introduction of a new image representation called the
“Integral Image” which allows the features used by our detector to be computed very
quickly. The second is a learning algorithm, based on AdaBoost, which selects a small
number of critical visual features and yields extremely efficient classifiers [4]. The
third contribution is a method for combining classifiers in a “cascade” which allows
background regions of the image to be quickly discarded while spending more computation
on promising object-like regions. A set of experiments in the domain of face
detection are presented. The system yields face detection performance comparable to
the best previous systems [16, 11, 14, 10, 1]. Implemented on a conventional desktop,
face detection proceeds at 15 frames per second Platform: |
Size: 784384 |
Author:lai |
Hits:
Description: Learning OpenCV--Computer Vision with the OpenCV Library
-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. Platform: |
Size: 11653120 |
Author:Cheng |
Hits:
Description: 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 sufficient to use OpenCV effectively. Platform: |
Size: 10756096 |
Author:vuamaohiem |
Hits:
Description: 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. Platform: |
Size: 8299520 |
Author:abby |
Hits:
Description: Learning OpenCV英文版，除了前几章没有用的opencv发展背景和安装方法之外，其他都有，包括示例和讲解，共313页，希望能给大家提供帮助-Learning OpenCV English version of the second half, in addition to the previous chapters did not use the opencv development background and installation methods, some of the basic essence of the book has a total of 313, hope that they can help Platform: |
Size: 4468736 |
Author:张桦 |
Hits:
Description: 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. Platform: |
Size: 10081280 |
Author:AcA |
Hits:
Description: 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 “codebook” model we train it using the first 5 frames of the video record. Such
low number of training frames is enough, because the background environment practically does not change during the
whole video sequence (the image of the background scene with a foreground human silhouette can be seen in Figure
2.2.1). Platform: |
Size: 136192 |
Author:2279657041 |
Hits:
Description: 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. Platform: |
Size: 10635264 |
Author:jiang |
Hits:
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 |
Hits:
Search - opencv background learning