Webcam face detection and tracking - Java Code Bank

                /*
 Requires the processing and OpenCV libraries to be installed.
 
 Processing - http://processing.org/download/
 OpenCV - http://ubaa.net/shared/processing/opencv/

*/

import processing.core.*; 
import processing.xml.*; 

import hypermedia.video.*; 

import java.applet.*; 
import java.awt.*; 
import java.awt.image.*; 
import java.awt.event.*; 
import java.io.*; 
import java.net.*; 
import java.text.*; 
import java.util.*; 
import java.util.zip.*; 
import java.util.regex.*; 

public class facetrack extends PApplet {


OpenCV opencv;
int contrast_value = 0;
int brightness_value = 0;

public void setup() {
  size( 320, 240 );
  opencv = new OpenCV( this );
  opencv.capture( width, height );
  opencv.cascade( OpenCV.CASCADE_FRONTALFACE_ALT );
  
  // print usage  
  println( "Drag mouse on X-axis inside this sketch window to change contrast" );
  println( "Drag mouse on Y-axis inside this sketch window to change brightness" );
}

public void stop() {
  opencv.stop();
  super.stop();
}

public void draw() {
  opencv.read();
  opencv.convert( GRAY );
  opencv.contrast( contrast_value );
  opencv.brightness( brightness_value );
  Rectangle[] faces = opencv.detect( 1.2f, 2, OpenCV.HAAR_DO_CANNY_PRUNING, 40, 40 );
  image( opencv.image(), 0, 0 ); noFill(); stroke(255,0,0);
  for( int i=0; i<faces.length; i++ ) {
    int[] centerPoint = {faces[i].x + (faces[i].width/2), faces[i].y + ((faces[i].height/2))};
    ellipse(centerPoint[0], centerPoint[1], 15, 15);
  }
}

public void mouseDragged() {
  contrast_value = (int) map( mouseX, 0, width, -128, 128 );
  brightness_value = (int) map( mouseY, 0, width, -128, 128 );
}


  static public void main(String args[]) {
    PApplet.main(new String[] { "--bgcolor=#FFFFFF", "facetrack" });
  }
}