Emgu: Integrated examples of CameraCapture and FaceDetection

Integrate to examples to generate face detection in continous images as follows:
1. Create a Windowform application
2. Add reference
3. Add using namespace
//--------
using Emgu.CV;
using Emgu.CV.Structure;
using Emgu.Util;
using Emgu.CV.UI;
4. Add a form load event method
        private Capture _capture;
        private bool _captureInProgress;
        ImageBox box = new ImageBox();
        private void Form1_Load(object sender, EventArgs e)
        {
            box.Width = 800;
            box.Height = 600;
            this.Controls.Add(box);
            //Application.Idle += new EventHandler(Application_Idle);
            #region if capture is not created, create it now
            if (_capture == null)
            {
                try
                {
                    _capture = new Capture();
                }
                catch (NullReferenceException excpt)
                {
                    MessageBox.Show(excpt.Message);
                }
            }
            #endregion
            if (_capture != null)
            {
                if (_captureInProgress)
                {  //stop the capture
                    Application.Idle -= Application_Idle;
                }
                else
                {
                    //start the capture
                    //captureButton.Text = "Stop";
                    Application.Idle += Application_Idle;
                }
                _captureInProgress = !_captureInProgress;
            }
        }
        void Application_Idle(object sender, EventArgs e)
        {
            Image<Bgr, Byte> frame = _capture.QueryFrame();
            box.Image = frame;
            //Image<Bgr, Byte> image = new Image<Bgr, byte>("lena.jpg"); //Read the files as an 8-bit Bgr image 
            Image<Gray, Byte> gray = frame.Convert<Gray, Byte>(); //Convert it to Grayscale
            //normalizes brightness and increases contrast of the image
            gray._EqualizeHist();
            //Read the HaarCascade objects
            HaarCascade face = new HaarCascade("../../haarcascade_frontalface_alt_tree.xml");
            HaarCascade eye = new HaarCascade("../../haarcascade_eye.xml");
            //Detect the faces  from the gray scale image and store the locations as rectangle
            //The first dimensional is the channel
            //The second dimension is the index of the rectangle in the specific channel
            MCvAvgComp[][] facesDetected = gray.DetectHaarCascade(face, 1.1, 1, Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DO_CANNY_PRUNING, new Size(20, 20));
            foreach (MCvAvgComp f in facesDetected[0])
            {
                //Set the region of interest on the faces
                gray.ROI = f.rect;
                MCvAvgComp[][] eyesDetected = gray.DetectHaarCascade(eye, 1.1, 1, Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DO_CANNY_PRUNING, new Size(20, 20));
                gray.ROI = Rectangle.Empty;
                //if there is no eye in the specific region, the region shouldn't contains a face
                //note that we might not be able to recoginize a person who ware glass in this case
                if (eyesDetected[0].Length == 0) continue;
                //draw the face detected in the 0th (gray) channel with blue color
                frame.Draw(f.rect, new Bgr(Color.Blue), 2);
                foreach (MCvAvgComp ey in eyesDetected[0])
                {
                    if (ey.neighbors > 100)
                    {
                        Rectangle eyeRect = ey.rect;
                        eyeRect.Offset(f.rect.X, f.rect.Y);
                        frame.Draw(eyeRect, new Bgr(Color.Red), 2);
                    }
                }
            }
            //display the image
            box.Image = frame;
        }