.NET开源工程推荐（Accord，AForge，Emgu CV）

本人用C#开发了一些项目，下面的开源工程给了我很大的帮助——详细的源代码介绍加丰富的实例运用，是非常不错的学习资源，分享给大家，同时附上我的相关开发项目。

Accord.NET

The Accord.NET Framework provides machine learning, mathematics, statistics, computer vision, computer audition, and several scientific computing related methods and techniques to .NET. The project extends the popular AForge.NET Framework providing a more complete scientific computing environment.

项目主页： https://code.google.com/p/accord/

GitHub： http://accord-net.github.io/ https://github.com/accord-net

Application

FaceTracking 人脸追踪

https://code.google.com/p/accord/wiki/SampleApp_FaceTracking

Haar-feature Object Detection in C# 人脸检测

http://www.codeproject.com/Articles/441226/Haar-feature-Object-Detection-in-Csharp

（用于分类）Use Kernel Support Vector Machines (k-SVMs) to solve a classification problem.
https://code.google.com/p/accord/wiki/SampleApp_KSVM

（主成分分析）use Principal Component Analysis (PCA) to perform dimensionality redution

https://code.google.com/p/accord/wiki/SampleApp_PrincipalComponentAnalysis

AForge.NET

AForge.NET is an open source C# framework designed for developers and researchers in the fields of Computer Vision and Artificial Intelligence - image processing, neural networks, genetic algorithms, fuzzy logic, machine learning, robotics, etc.

项目主页： http://www.aforgenet.com/

on-line documentation： http://www.aforgenet.com/framework/docs/

Application

Camera Vision - video surveillance on C#

http://www.codeproject.com/Articles/15537/Camera-Vision-video-surveillance-on-C

本人借鉴此工程，开发了一个智能视频监控软件：

http://www.cnblogs.com/rainbow203/archive/2013/03/30/2990720.html

Motion Detection Algorithms

http://www.codeproject.com/Articles/10248/Motion-Detection-Algorithms

Motion Detection介绍

http://www.aforgenet.com/framework/features/motion_detection_2.0.html

借用此基础上，加入我的智能分析算法，开发了摔倒检测功能：

视频演示：http://v.youku.com/v_show/id_XNjEwMjE2MTUy.html

Emgu CV

Emgu CV is a cross platform .Net wrapper to the OpenCV image processing library. Allowing OpenCV functions to be called from .NET compatible languages such as C#, VB, VC++, IronPython etc. The wrapper can be compiled in Mono and run on Windows, Linux, Mac OS X, iPhone, iPad and Android devices.

项目主页：http://www.emgu.com/wiki/index.php/Main_Page

Application

Pedestrian Detection 行人检测

http://www.emgu.com/wiki/index.php/Pedestrian_Detection_in_CSharp