//Processing Code
// - Super Fast Blur v1.1 by Mario Klingemann 
// - BlobDetection library

import processing.video.*;
import blobDetection.*;
import de.humatic.dsj.*;
import java.awt.image.BufferedImage;

DCapture cap;
Capture cam;
BlobDetection theBlobDetection;
PImage img;
boolean newFrame=false;

// ==================================================
// setup()
// ==================================================
void setup()
{
  // Size of applet
  size(1920, 1080);
  background(0);
  cap = new DCapture();
  // Capture
  //cam = new Capture(this, 1920, 1080, 30);
        // Comment the following line if you use Processing 1.5
        //cam.start();
        
  // BlobDetection
  // img which will be sent to detection (a smaller copy of the cam frame);
  img = new PImage(80,60); 
  theBlobDetection = new BlobDetection(img.width, img.height);
  theBlobDetection.setPosDiscrimination(true);
  theBlobDetection.setThreshold(0.2f); // will detect bright areas whose luminosity > 0.2f;
}

// ==================================================
// captureEvent()
// ==================================================
void captureEvent(Capture cam)
{
  cam.read();
  newFrame = true;
}

// ==================================================
// draw()
// ==================================================
void draw()
{
  image(cap.updateImage(), 0, 0, cap.width, cap.height);
  if (newFrame)
  {
    newFrame=false;
    image(cam,0,0,width,height);
    img.copy(cam, 0, 0, cam.width, cam.height, 
        0, 0, img.width, img.height);
    fastblur(img, 2);
    theBlobDetection.computeBlobs(img.pixels);
    drawBlobsAndEdges(true,true);
  }
}

// ==================================================
// drawBlobsAndEdges()
// ==================================================
void drawBlobsAndEdges(boolean drawBlobs, boolean drawEdges)
{
  noFill();
  Blob b;
  EdgeVertex eA,eB;
  for (int n=0 ; n
// ==================================================
void fastblur(PImage img,int radius)
{
 if (radius<1){
    return;
  }
  int w=img.width;
  int h=img.height;
  int wm=w-1;
  int hm=h-1;
  int wh=w*h;
  int div=radius+radius+1;
  int r[]=new int[wh];
  int g[]=new int[wh];
  int b[]=new int[wh];
  int rsum,gsum,bsum,x,y,i,p,p1,p2,yp,yi,yw;
  int vmin[] = new int[max(w,h)];
  int vmax[] = new int[max(w,h)];
  int[] pix=img.pixels;
  int dv[]=new int[256*div];
  for (i=0;i<256*div;i++){
    dv[i]=(i/div);
  }

  yw=yi=0;

  for (y=0;y>16;
      gsum+=(p & 0x00ff00)>>8;
      bsum+= p & 0x0000ff;
    }
    for (x=0;x>16;
      gsum+=((p1 & 0x00ff00)-(p2 & 0x00ff00))>>8;
      bsum+= (p1 & 0x0000ff)-(p2 & 0x0000ff);
      yi++;
    }
    yw+=w;
  }

  for (x=0;x

  //Processing
import de.humatic.dsj.*;
import java.awt.image.BufferedImage;
 
class DCapture implements java.beans.PropertyChangeListener {
 
  private DSCapture capture;
  public int width, height;
 
  DCapture() {
    DSFilterInfo[][] dsi = DSCapture.queryDevices();
    capture = new DSCapture(DSFiltergraph.DD7, dsi[0][0], false, 
    DSFilterInfo.doNotRender(), this);
    width = capture.getDisplaySize().width;
    height = capture.getDisplaySize().height;
  }
 
  public PImage updateImage() {
    PImage img = createImage(width, height, RGB);
    BufferedImage bimg = capture.getImage();
    bimg.getRGB(0, 0, img.width, img.height, img.pixels, 0, img.width);
    img.updatePixels();
    return img;
  }
 
  public void propertyChange(java.beans.PropertyChangeEvent e) {
    switch (DSJUtils.getEventType(e)) {
    }
  }
}