Motion Detection Algorithms

视频中运动检测算法源代码及演示代码

2007年12月13日

C# 2.0, Windows, .NET 2.0, GDI+, VS2005, Arch, Dev

本文实现了在连续视频数据流中几种不同的运动检测算法，他们都是基于当前帧图像和前一帧图像的比较，程序使用了AForge.NET framework库。其中的示例代码支持下面几种视频格式：AVI文件、网路相机的JPEG和MJPEG，本地的采集设备(USB相机等)。

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感兴趣区域的获得方法：

// create processing filters sequence
FiltersSequence processingFilter = new FiltersSequence( );
processingFilter.Add( new Difference( backgroundFrame ) );
processingFilter.Add( new Threshold( 15 ) );
processingFilter.Add( new Opening( ) );
processingFilter.Add( new Edges( ) );
// apply the filter
Bitmap tmp1 = processingFilter.Apply( currentFrame );

// extract red channel from the original image
IFilter extrachChannel = new ExtractChannel( RGB.R );
Bitmap redChannel = extrachChannel.Apply( image );
//  merge red channel with moving object borders
Merge mergeFilter = new Merge( );
mergeFilter.OverlayImage = tmp1;
Bitmap tmp2 = mergeFilter.Apply( redChannel );
// replace red channel in the original image
ReplaceChannel replaceChannel = new ReplaceChannel( RGB.R );
replaceChannel.ChannelImage = tmp2;
Bitmap tmp3 = replaceChannel.Apply( image );

源代码原文下载：

Motion Detection Algorithms Some approaches to detect motion in a video stream. There are many approaches for motion detection in a continuous video stream. All of them are based on comparing of the current video frame with one from the previous frames or with something that we'll call background. In this article, I'll try to describe some of the most common approaches. In description of these algorithms I'll use the AForge.NET framework, which is described in some other articles on Code Project: [1], [2]. So, if you are common with it, it will only help. The demo application supports the following types of video sources: * AVI files (using Video for Windows, interop library is included); * updating JPEG from internet cameras; * MJPEG (motion JPEG) streams from different internet cameras; * local capture device (USB cameras or other capture devices, DirectShow interop library is included).

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