Face detection by video processing in Java Using Open CV !

Please setup Your IDE For OpenCV

       
package com.test.motion.detection;

import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.core.MatOfRect;
import org.opencv.core.Point;
import org.opencv.core.Rect;
import org.opencv.core.Scalar;
import org.opencv.core.Size;
import org.opencv.highgui.VideoCapture;
import org.opencv.imgproc.Imgproc;
import org.opencv.objdetect.CascadeClassifier;

public class MyTest {
 static OpenCVWindow openCVWindow;
  
 public static void main(String[] args) {
  System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
  openCVWindow=new OpenCVWindow(1000,600);

       readImgFromCam();  
 }
 public static void readImgFromCam() {
  CascadeClassifier faceDetector = new CascadeClassifier("D:/javaTech/OpenCV/opencv/sources/data/lbpcascades/lbpcascade_frontalface.xml");
  
  VideoCapture cam=new VideoCapture(0);
  while(true){
   
   if(!cam.isOpened()){
    cam.open(0);
    System.out.println("No cam Found....");
   }else {
    }
   Mat frameMat=new Mat();
   Mat newmMat=new Mat();
   MatOfRect matOfRect=new MatOfRect();
      
   
   cam.read(frameMat);
   Imgproc.resize(frameMat, newmMat, new Size(1000,600));
   
   faceDetector.detectMultiScale(newmMat, matOfRect);
   
   for(Rect rect:matOfRect.toArray()){
   // Core.rectangle(new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height), new Scalar(0, 255, 0));

          Core.rectangle(newmMat, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height), new Scalar(0, 255, 0));
   }
   
   openCVWindow.showImage(newmMat);
   

   
  }
  //cam.release();
  

  
 }

}

 package com.test.motion.detection;

import java.awt.Dimension;
import java.io.ByteArrayInputStream;
import java.io.InputStream;

import javax.imageio.ImageIO;
import javax.swing.JFrame;

import org.opencv.core.Mat;
import org.opencv.core.MatOfByte;
import org.opencv.highgui.Highgui;

public class OpenCVWindow extends JFrame{
 
 private static final long serialVersionUID = 1L;
 Sheet sheet;
 int height, width;


 public OpenCVWindow( int length, int breadth)
 {
  width = length;
  height = breadth;
  sheet = new Sheet(breadth,length);
  
  this.setSize(new Dimension(length, breadth));
  this.add(sheet);

  this.setFocusable(true);
  this.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
  this.setVisible(true);
  
 }
 


 public void showImage(Mat m)
 {
  MatOfByte matOfByte = new MatOfByte();
  Highgui.imencode(".jpg", m, matOfByte);
  
  byte[] byteArray = matOfByte.toArray();
  try
  {

   InputStream in = new ByteArrayInputStream(byteArray);
   sheet.paintSheet(ImageIO.read(in));
   
  } catch (Exception e)
  {
   e.printStackTrace();
  }
 }
}

package com.test.motion.detection;

import java.awt.Graphics;
import java.awt.image.BufferedImage;

import javax.swing.JPanel;

public class Sheet extends JPanel
{
 private static final long serialVersionUID = 1L;
 BufferedImage image;
 int width, height;

 public Sheet( int h, int w)
 {
  width = w;
  height = h;

  setSize(w, h);
 }

 public void paintSheet(BufferedImage img)
 {
  image = img;
  repaint();
 }

 public void paintComponent(Graphics g)
 {
  g.drawImage(image, 0, 0, width, height, this);
 }
}

OUTPUT