/*
public void TestCodeBookBGModel()
{
using (Capture capture = new Capture())
using (BGCodeBookModel<Bgr> model = new BGCodeBookModel<Bgr>())
{
ImageViewer viewer = new ImageViewer();
Image<Gray, byte> fgMask = capture.QueryFrame().Convert<Gray, Byte>();
Application.Idle += delegate(Object sender, EventArgs args)
{
Mat frame = capture.QueryFrame();
model.Apply(frame);
viewer.Image = model.ForegroundMask;
};
viewer.ShowDialog();
}
}
public void TestBlobTracking()
{
MCvFGDStatModelParams fgparam = new MCvFGDStatModelParams();
fgparam.alpha1 = 0.1f;
fgparam.alpha2 = 0.005f;
fgparam.alpha3 = 0.1f;
fgparam.delta = 2;
fgparam.is_obj_without_holes = 1;
fgparam.Lc = 32;
fgparam.Lcc = 16;
fgparam.minArea = 15;
fgparam.N1c = 15;
fgparam.N1cc = 25;
fgparam.N2c = 25;
fgparam.N2cc = 35;
fgparam.perform_morphing = 0;
fgparam.T = 0.9f;
BlobTrackerAutoParam<Bgr> param = new BlobTrackerAutoParam<Bgr>();
param.BlobDetector = new BlobDetector(Emgu.CV.CvEnum.BlobDetectorType.CC);
param.FGDetector = new FGDetector<Bgr>(Emgu.CV.CvEnum.ForgroundDetectorType.Fgd, fgparam);
param.BlobTracker = new BlobTracker(Emgu.CV.CvEnum.BLOBTRACKER_TYPE.MSFG);
param.FGTrainFrames = 10;
BlobTrackerAuto<Bgr> tracker = new BlobTrackerAuto<Bgr>(param);
//MCvFont font = new MCvFont(Emgu.CV.CvEnum.FontFace.HersheySimplex, 1.0, 1.0);
using(ImageViewer viewer = new ImageViewer())
using (Capture capture = new Capture())
{
capture.ImageGrabbed += delegate(object sender, EventArgs e)
{
tracker.Process(capture.RetrieveBgrFrame());
//Image<Bgr, Byte> img = capture.RetrieveBgrFrame();
Image<Bgr, Byte> img = tracker.ForegroundMask.Convert<Bgr, Byte>();
foreach (MCvBlob blob in tracker)
{
img.Draw((Rectangle)blob, new Bgr(255.0, 255.0, 255.0), 2);
img.Draw(blob.ID.ToString(), Point.Round(blob.Center), CvEnum.FontFace.HersheySimplex, 1.0, new Bgr(255.0, 255.0, 255.0));
}
viewer.Image = img;
};
capture.Start();
viewer.ShowDialog();
}
}*/
public void TestCvBlob()
{
//MCvFont font = new MCvFont(Emgu.CV.CvEnum.FontFace.HersheySimplex, 0.5, 0.5);
using (CvTracks tracks = new CvTracks())
using (ImageViewer viewer = new ImageViewer())
using (Capture capture = new Capture())
using (Mat fgMask = new Mat())
{
//BGStatModel<Bgr> bgModel = new BGStatModel<Bgr>(capture.QueryFrame(), Emgu.CV.CvEnum.BG_STAT_TYPE.GAUSSIAN_BG_MODEL);
BackgroundSubtractorMOG2 bgModel = new BackgroundSubtractorMOG2(0, 0, true);
//BackgroundSubstractorMOG bgModel = new BackgroundSubstractorMOG(0, 0, 0, 0);
capture.ImageGrabbed += delegate(object sender, EventArgs e)
{
Mat frame = new Mat();
capture.Retrieve(frame);
bgModel.Apply(frame, fgMask);
using (CvBlobDetector detector = new CvBlobDetector())
using (CvBlobs blobs = new CvBlobs())
{
detector.Detect(fgMask.ToImage<Gray, Byte>(), blobs);
blobs.FilterByArea(100, int.MaxValue);
tracks.Update(blobs, 20.0, 10, 0);
Image<Bgr, Byte> result = new Image<Bgr, byte>(frame.Size);
using (Image<Gray, Byte> blobMask = detector.DrawBlobsMask(blobs))
{
frame.CopyTo(result, blobMask);
}
//CvInvoke.cvCopy(frame, result, blobMask);
foreach (KeyValuePair<uint, CvTrack> pair in tracks)
{
if (pair.Value.Inactive == 0) //only draw the active tracks.
{
CvBlob b = blobs[pair.Value.BlobLabel];
Bgr color = detector.MeanColor(b, frame.ToImage<Bgr, Byte>());
result.Draw(pair.Key.ToString(), pair.Value.BoundingBox.Location, CvEnum.FontFace.HersheySimplex, 0.5, color);
result.Draw(pair.Value.BoundingBox, color, 2);
Point[] contour = b.GetContour();
result.Draw(contour, new Bgr(0, 0, 255), 1);
}
}
viewer.Image = frame.ToImage<Bgr, Byte>().ConcateVertical(fgMask.ToImage<Bgr, Byte>().ConcateHorizontal(result));
}
};
capture.Start();
viewer.ShowDialog();
}
}
protected override void inicializarVariaveis()
{
base.inicializarVariaveis();
mDetector = new Emgu.CV.VideoSurveillance.BackgroundSubtractorMOG2();
mBlobDetector = new CvBlobDetector();
Size vTamanhoDasImagens = mImagemColorida.Size;
mImagemCinzaSemPlanoDeFundo = new Mat();
mImagemDoPlanoDeFundo = new Mat(vTamanhoDasImagens.Width, vTamanhoDasImagens.Height, DepthType.Cv32F, 3);
mImagemSemPlanoDeFundo = null;// = cvCreateImage(gTamanhoDaImagem, IPL_DEPTH_32F, 3);;
mCopiaImagemPlanoDeFundo = null;
mImagemBinariaSemPlanoDeFundo = new Mat();
vHist = new Emgu.CV.UI.HistogramBox();
vHist.Show();
vHist.Visible = true;
mPrimeiraExecucao = true;
dicionarioMonitores = new Dictionary<int, MonitorDePessoa>();
dicionarioBlobs = new Dictionary<int, MCvBlob>();
}
public void mapear()
{
mDetector = new Emgu.CV.VideoSurveillance.BackgroundSubtractorMOG2();
mBlobDetector = new CvBlobDetector();
_capture = new Capture(mNomeDoArquivo);
//_capture = new Capture();
inicializarKalman();
Application.Idle += ProcessFrame;
}
public BackgroundSubtractProcessor()
{
_bg = new BackgroundSubtractorMOG2(10000, 2 * 2, true);
BackgroundSubtractorMOG2Data data = (BackgroundSubtractorMOG2Data)Marshal.PtrToStructure(_bg.Ptr, typeof(BackgroundSubtractorMOG2Data));
data.nmixtures = 3;
_thresholdWindow = new Window();
StackPanel pnl = new StackPanel();
pnl.Orientation = Orientation.Vertical;
_thresholdWindow.Content = pnl;
Slider thresSlides = new Slider();
thresSlides.Minimum = 0;
thresSlides.Maximum = 100;
thresSlides.ValueChanged += slider_ValueChanged;
pnl.Children.Add(thresSlides);
Slider thres2Slides = new Slider();
thres2Slides.Minimum = 0;
thres2Slides.Maximum = 100;
thres2Slides.ValueChanged += thres2Slides_ValueChanged;
pnl.Children.Add(thres2Slides);
_a.WindowStartupLocation = WindowStartupLocation.Manual;
_a.Top = 0;
_a.Left = 0;
_a.Title = "a";
_a.Show();
_b.WindowStartupLocation = WindowStartupLocation.Manual;
_b.Top = 0;
_b.Left = _a.Width;
_b.Title = "b";
_b.Show();
_c.WindowStartupLocation = WindowStartupLocation.Manual;
_c.Top = 0;
_c.Left = _a.Width * 2;
_c.Title = "c";
_c.Show();
_d.WindowStartupLocation = WindowStartupLocation.Manual;
_d.Top = _a.Height;
_d.Left = 0;
_d.Title = "d";
_d.Show();
_e.WindowStartupLocation = WindowStartupLocation.Manual;
_e.Top = _a.Height;
_e.Left = _a.Width;
_e.Title = "e";
_e.Show();
for (int i = 0; i <= 80; i++)
{
_rightArmAngles.Add(i);
}
for (int i = 280; i <= 360; i++)
{
_rightArmAngles.Add(i);
}
for (int i = 0; i <= 100; i++)
{
_rightHandAngles.Add(i);
}
for (int i = 260; i <= 360; i++)
{
_rightHandAngles.Add(i);
}
for (int i = 100; i <= 260; i++)
{
_leftArmAngles.Add(i);
}
for (int i = 80; i <= 280; i++)
{
_leftHandAngles.Add(i);
}
//_thresholdWindow.Show();
}
