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// Motion Detector
//
// Copyright � Andrew Kirillov, 2005-2006
// andrew.kirillov@gmail.com
//
namespace motion
{
using System;
using System.Drawing;
using System.Drawing.Imaging;
using AForge.Imaging;
using AForge.Imaging.Filters;
/// <summary>
/// MotionDetector3
/// </summary>
public class MotionDetector3 : IMotionDetector
{
private IFilter grayscaleFilter = new GrayscaleBT709( );
private IFilter pixellateFilter = new Pixellate( );
private Difference differenceFilter = new Difference( );
private Threshold thresholdFilter = new Threshold( 15 );
private Dilatation dilatationFilter = new Dilatation( );
private IFilter edgesFilter = new Edges( );
private Merge mergeFilter = new Merge( );
private IFilter extrachChannel = new ExtractChannel( RGB.R );
private ReplaceChannel replaceChannel = new ReplaceChannel( RGB.R, null );
private MoveTowards moveTowardsFilter = new MoveTowards( );
private FiltersSequence processingFilter1 = new FiltersSequence( );
private FiltersSequence processingFilter2 = new FiltersSequence( );
private Bitmap backgroundFrame;
private BitmapData bitmapData;
private int counter = 0;
private bool calculateMotionLevel = false;
private int width; // image width
private int height; // image height
private int pixelsChanged;
// Motion level calculation - calculate or not motion level
public bool MotionLevelCalculation
{
get { return calculateMotionLevel; }
set { calculateMotionLevel = value; }
}
// Motion level - amount of changes in percents
public double MotionLevel
{
get { return (double) pixelsChanged / ( width * height ); }
}
// Constructor
public MotionDetector3( )
{
processingFilter1.Add( grayscaleFilter );
processingFilter1.Add( pixellateFilter );
processingFilter2.Add( differenceFilter );
processingFilter2.Add( thresholdFilter );
processingFilter2.Add( dilatationFilter );
}
// Reset detector to initial state
public void Reset( )
{
if ( backgroundFrame != null )
{
backgroundFrame.Dispose( );
backgroundFrame = null;
}
counter = 0;
}
// Process new frame
public void ProcessFrame( ref Bitmap image )
{
if ( backgroundFrame == null )
{
// create initial backgroung image
backgroundFrame = processingFilter1.Apply( image );
// get image dimension
width = image.Width;
height = image.Height;
// just return for the first time
return;
}
Bitmap tmpImage;
// apply the the first filters sequence
tmpImage = processingFilter1.Apply( image );
if ( ++counter == 2 )
{
counter = 0;
// move background towards current frame
moveTowardsFilter.OverlayImage = tmpImage;
moveTowardsFilter.ApplyInPlace( backgroundFrame );
}
// set backgroud frame as an overlay for difference filter
differenceFilter.OverlayImage = backgroundFrame;
// lock temporary image to apply several filters
bitmapData = tmpImage.LockBits( new Rectangle( 0, 0, width, height ),
ImageLockMode.ReadWrite, PixelFormat.Format8bppIndexed );
// apply difference filter
differenceFilter.ApplyInPlace( bitmapData );
// apply threshold filter
thresholdFilter.ApplyInPlace( bitmapData );
// apply dilatation filter
Bitmap tmpImage2 = dilatationFilter.Apply( bitmapData );
// unlock temporary image
tmpImage.UnlockBits( bitmapData );
tmpImage.Dispose( );
// calculate amount of changed pixels
pixelsChanged = ( calculateMotionLevel ) ?
CalculateWhitePixels( tmpImage2 ) : 0;
// find edges
Bitmap tmpImage2b = edgesFilter.Apply( tmpImage2 );
tmpImage2.Dispose( );
// extract red channel from the original image
Bitmap redChannel = extrachChannel.Apply( image );
// merge red channel with moving object borders
mergeFilter.OverlayImage = tmpImage2b;
Bitmap tmpImage3 = mergeFilter.Apply( redChannel );
redChannel.Dispose( );
tmpImage2b.Dispose( );
// replace red channel in the original image
replaceChannel.ChannelImage = tmpImage3;
Bitmap tmpImage4 = replaceChannel.Apply( image );
tmpImage3.Dispose( );
image.Dispose( );
image = tmpImage4;
}
// Calculate white pixels
private int CalculateWhitePixels( Bitmap image )
{
int count = 0;
// lock difference image
BitmapData data = image.LockBits( new Rectangle( 0, 0, width, height ),
ImageLockMode.ReadOnly, PixelFormat.Format8bppIndexed );
int offset = data.Stride - width;
unsafe
{
byte * ptr = (byte *) data.Scan0.ToPointer( );
for ( int y = 0; y < height; y++ )
{
for ( int x = 0; x < width; x++, ptr++ )
{
count += ( (*ptr) >> 7 );
}
ptr += offset;
}
}
// unlock image
image.UnlockBits( data );
return count;
}
}
}
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Started software development at about 15 years old and it seems like now it lasts most part of my life. Fortunately did not spend too much time with Z80 and BK0010 and switched to 8086 and further. Similar with programming languages – luckily managed to get away from BASIC and Pascal to things like Assembler, C, C++ and then C#. Apart from daily programming for food, do it also for hobby, where mostly enjoy areas like Computer Vision, Robotics and AI. This led to some open source stuff like
AForge.NET,
Computer Vision Sandbox,
cam2web,
ANNT, etc.