/// <summary>
/// Called when videoPlayer receives a new frame.
/// </summary>
/// <param name="sender"></param>
/// <param name="image"></param>
private void videoPlayer_NewFrame(object sender, ref Bitmap frame)
{
if (previousFrame != null)
{
// find the thresholded euclidian difference between two subsequent frames
ThresholdedEuclideanDifference threshold = new ThresholdedEuclideanDifference(40);
threshold.OverlayImage = previousFrame;
var difference = threshold.Apply(frame);
// only keep big blobs
var filter = new BlobsFiltering();
filter.CoupledSizeFiltering = true;
filter.MinHeight = 50;
filter.MinWidth = 50;
filter.ApplyInPlace(difference);
// dilate remaining blobs
var dilate = new BinaryDilation3x3();
dilate.ApplyInPlace(difference);
dilate.ApplyInPlace(difference);
dilate.ApplyInPlace(difference);
dilate.ApplyInPlace(difference);
// put this image in the thresholded picturebox
thresholdedBox.Image = difference.Clone() as Bitmap;
// use this as a mask for the current frame
var mask = new ApplyMask(difference);
var maskedFrame = mask.Apply(frame);
// put this image in the masked picturebox
maskedBox.Image = maskedFrame.Clone() as Bitmap;
// now find all moving blobs
if (frameIndex % 10 == 0)
{
var counter = new BlobCounter();
counter.ProcessImage(difference);
// only keep blobs that:
// - do not overlap with known cars
// - do not overlap with other blobs
// - have crossed the middle of the frame
// - are at least 100 pixels tall
var blobs = counter.GetObjectsRectangles();
var newBlobs = from r in counter.GetObjectsRectangles()
where !trackers.Any(t => t.Tracker.TrackingObject.Rectangle.IntersectsWith(r)) &&
!blobs.Any(b => b.IntersectsWith(r) && b != r) &&
r.Top >= 240 && r.Bottom <= 480 &&
r.Height >= 100
select r;
// set up new camshift trackers for each detected blob
foreach (var rect in newBlobs)
{
trackers.Add(new TrackerType(rect, frameIndex, ++carIndex));
}
}
// now kill all car trackers that have expanded by too much
trackers.RemoveAll(t => t.Tracker.TrackingObject.Rectangle.Height > 360);
// and kill all trackers that have lived for 30 frames
trackers.RemoveAll(t => frameIndex - t.StartIndex > 30);
// let all remaining trackers process the current frame
var img = UnmanagedImage.FromManagedImage(maskedFrame);
trackers
.ForEach(t => t.Tracker.ProcessFrame(img));
// remember this frame for next iteration
previousFrame.Dispose();
previousFrame = frame.Clone() as Bitmap;
// draw labels on all tracked cars
var outputFrame = frame.Clone() as Bitmap;
trackers
.FindAll(t => !t.Tracker.TrackingObject.IsEmpty)
.ForEach(t => DrawCarLabel(outputFrame, t.Tracker.TrackingObject.Rectangle, t.CarNumber));
// return the processed frame to the video
frame = outputFrame;
}
// or else just remember this frame for next iteration
else
{
previousFrame = frame.Clone() as Bitmap;
}
frameIndex++;
}
/// <summary>
/// Called when videoPlayer receives a new frame.
/// </summary>
/// <param name="sender"></param>
/// <param name="image"></param>
private void videoPlayer_NewFrame_1(object sender, ref Bitmap frame)
{
//if (cmb_fuente.SelectedIndex==1)
//{
// RotateBicubic filter = new RotateBicubic(90, true);
// frame = filter.Apply(frame);
//}
if (previousFrame != null)
{
// find the thresholded euclidian difference between two subsequent frames
//ThresholdedEuclideanDifference threshold = new ThresholdedEuclideanDifference(40);
ThresholdedEuclideanDifference threshold = new ThresholdedEuclideanDifference(thr);
threshold.OverlayImage = previousFrame;
var difference = threshold.Apply(frame);
// only keep big blobs
var filter = new BlobsFiltering();
filter.CoupledSizeFiltering = true;
filter.MinHeight = int.Parse(txt_tamanio2.Text);
filter.MinWidth = int.Parse(txt_tamanio2.Text);
filter.ApplyInPlace(difference);
//var sobl = new SobelEdgeDetector();
//sobl.ApplyInPlace(difference);
//erode image
var erode = new Erosion3x3();
for (int i = 0; i < int.Parse(txt_ers.Text); i++)
{
erode.ApplyInPlace(difference);
//erode.ApplyInPlace(difference);
//erode.ApplyInPlace(difference);
}
// dilate remaining blobs
var dilate = new BinaryDilation3x3();
for (int i = 0; i < int.Parse(txt_dils.Text); i++)
{
dilate.ApplyInPlace(difference);
//dilate.ApplyInPlace(difference);
//dilate.ApplyInPlace(difference);
//dilate.ApplyInPlace(difference);
}
// put this image in the thresholded picturebox
thresholdedBox.Image = difference.Clone() as Bitmap;
// use this as a mask for the current frame
var mask = new ApplyMask(difference);
var maskedFrame = mask.Apply(frame);
// put this image in the masked picturebox
maskedBox.Image = maskedFrame.Clone() as Bitmap;
// now find all moving blobs
if (frameIndex % 10 == 0)
{
var counter = new BlobCounter();
counter.ProcessImage(difference);
// only keep blobs that:
// - do not overlap with known cars
// - do not overlap with other blobs
// - have crossed the middle of the frame
// - are at least 100 pixels tall
var blobs = counter.GetObjectsRectangles();
var newBlobs = from r in counter.GetObjectsRectangles()
where !trackers.Any(t => t.Tracker.TrackingObject.Rectangle.IntersectsWith(r)) &&
!blobs.Any(b => b.IntersectsWith(r) && b != r) &&
r.Top >= 240 && r.Bottom <= 480 &&
r.Height >= int.Parse(txt_tamanio.Text)
select r;
// set up new camshift trackers for each detected blob
foreach (var rect in newBlobs)
{
trackers.Add(new TrackerType(rect, frameIndex, ++carIndex));
}
}
// now kill all car trackers that have expanded by too much
trackers.RemoveAll(t => t.Tracker.TrackingObject.Rectangle.Height > 360);
// and kill all trackers that have lived for 30 frames
//trackers.RemoveAll(t => frameIndex - t.StartIndex > 30);
trackers.RemoveAll(t => frameIndex - t.StartIndex > frames);
// let all remaining trackers process the current frame
var img = UnmanagedImage.FromManagedImage(maskedFrame);
trackers
.ForEach(t => t.Tracker.ProcessFrame(img));
// remember this frame for next iteration
previousFrame.Dispose();
previousFrame = frame.Clone() as Bitmap;
//escribir etiqueta para cada vehiculo
var outputFrame = frame.Clone() as Bitmap;
trackers
.FindAll(t => !t.Tracker.TrackingObject.IsEmpty)
.ForEach(t => DrawCarLabel(outputFrame, t.Tracker.TrackingObject.Rectangle, t.CarNumber));
// regresar frame procesado
frame = outputFrame;
}
else
{ // recordar para siguiente iteracion
previousFrame = frame.Clone() as Bitmap;
}
frameIndex++;
//if (previousFrame != null)
//{
// // find the thresholded euclidian difference between two subsequent frames
// ThresholdedEuclideanDifference threshold = new ThresholdedEuclideanDifference(40);
// threshold.OverlayImage = previousFrame;
// var difference = threshold.Apply(frame);
// // only keep big blobs
// var filter = new BlobsFiltering();
// filter.CoupledSizeFiltering = true;
// filter.MinHeight = 50;
// filter.MinWidth = 50;
// filter.ApplyInPlace(difference);
// // dilate remaining blobs
// var dilate = new BinaryDilation3x3();
// dilate.ApplyInPlace(difference);
// //dilate.ApplyInPlace(difference);
// //dilate.ApplyInPlace(difference);
// //dilate.ApplyInPlace(difference);
// // put this image in the thresholded picturebox
// thresholdedBox.Image = difference.Clone() as Bitmap;
// // use this as a mask for the current frame
// var mask = new ApplyMask(difference);
// var maskedFrame = mask.Apply(frame);
// // put this image in the masked picturebox
// maskedBox.Image = maskedFrame.Clone() as Bitmap;
// // now find all moving blobs
// if (frameIndex % 10 == 0)
// {
// var counter = new BlobCounter();
// counter.ProcessImage(difference);
// // only keep blobs that:
// // - do not overlap with known cars
// // - do not overlap with other blobs
// // - have crossed the middle of the frame
// // - are at least 100 pixels tall
// var blobs = counter.GetObjectsRectangles();
// var newBlobs = from r in counter.GetObjectsRectangles()
// where !trackers.Any(t => t.Tracker.TrackingObject.Rectangle.IntersectsWith(r))
// && !blobs.Any(b => b.IntersectsWith(r) && b != r)
// && r.Top >= 240 && r.Bottom <= 480
// && r.Height >= 100
// select r;
// // set up new camshift trackers for each detected blob
// foreach (var rect in newBlobs)
// {
// trackers.Add(new TrackerType(rect, frameIndex, ++carIndex));
// }
// }
// // now kill all car trackers that have expanded by too much
// trackers.RemoveAll(t => t.Tracker.TrackingObject.Rectangle.Height > 360);
// // and kill all trackers that have lived for 30 frames
// trackers.RemoveAll(t => frameIndex - t.StartIndex > 30);
// // let all remaining trackers process the current frame
// var img = UnmanagedImage.FromManagedImage(maskedFrame);
// trackers
// .ForEach(t => t.Tracker.ProcessFrame(img));
// // remember this frame for next iteration
// previousFrame.Dispose();
// previousFrame = frame.Clone() as Bitmap;
// // draw labels on all tracked cars
// var outputFrame = frame.Clone() as Bitmap;
// trackers
// .FindAll(t => !t.Tracker.TrackingObject.IsEmpty)
// .ForEach(t => DrawCarLabel(outputFrame, t.Tracker.TrackingObject.Rectangle, t.CarNumber));
// // return the processed frame to the video
// frame = outputFrame;
//}
//// or else just remember this frame for next iteration
//else
// previousFrame = frame.Clone() as Bitmap;
//frameIndex++;
}
/// <summary>
/// Called when videoPlayer receives a new frame.
/// </summary>
/// <param name="sender"></param>
/// <param name="image"></param>
private void videoPlayer_NewFrame(object sender, ref Bitmap frame)
{
// use an rgb filter to remove everything but mario's outfit
var filter = new ColorFiltering(
new IntRange(220, 240),
new IntRange(200, 220),
new IntRange(160, 180)
);
var filteredFrame = filter.Apply(frame);
// convert the image to grayscale
var gray = new GrayscaleBT709();
var trackingFrame = gray.Apply(filteredFrame);
// use a threshold to make the image black & white
var threshold = new Threshold(1);
threshold.ApplyInPlace(trackingFrame);
// apply agressive dilation
var dilation = new BinaryDilation3x3();
dilation.ApplyInPlace(trackingFrame);
dilation.ApplyInPlace(trackingFrame);
dilation.ApplyInPlace(trackingFrame);
// use image to mask the original frame
var mask = new ApplyMask(trackingFrame);
var maskedFrame = mask.Apply(frame);
// is the camshift tracker still tracking mario?
// - the tracking object cannot be empty
// - the tracking rectangle has to be small
bool isTracking = tracker.TrackingObject?.IsEmpty == false &&
tracker.TrackingObject?.Rectangle.Width <= 50;
if (!isTracking)
{
// no - so do a blob search
var blobSearch = new BlobCounter();
blobSearch.FilterBlobs = true;
blobSearch.MinHeight = 25;
blobSearch.MinWidth = 25;
blobSearch.ProcessImage(trackingFrame);
if (blobSearch.ObjectsCount > 0)
{
// assume the first blog we find is mario
var rectangles = blobSearch.GetObjectsRectangles();
var rect = rectangles.First();
// use camshift to track mario from now on
var img = UnmanagedImage.FromManagedImage(maskedFrame);
tracker.SearchWindow = rect;
tracker.ProcessFrame(img);
}
}
else
{
// track mario using camshift
var img = UnmanagedImage.FromManagedImage(maskedFrame);
tracker.ProcessFrame(img);
// draw the reticle where mario is
var rect = tracker.TrackingObject.Rectangle;
rect.Inflate(30, 30);
DrawReticle(frame, rect);
}
// update pictureboxes
thresholdedBox.Image = trackingFrame;
maskedBox.Image = maskedFrame;
frameIndex++;
}
private void Cap_ImageGrabbed(object sender, EventArgs e)
{
try
{
Mat imagen = new Mat();
cap.Retrieve(imagen);
//pb_lprptzanalitica.Image = imagen.Bitmap;
Bitmap frame = new Bitmap(imagen.Bitmap);
//pb_ipcam.Image = frame.Clone() as Bitmap;
if (previousFrame != null)
{
// find the thresholded euclidian difference between two subsequent frames
//ThresholdedEuclideanDifference threshold = new ThresholdedEuclideanDifference(40);
ThresholdedEuclideanDifference threshold = new ThresholdedEuclideanDifference(thr);
threshold.OverlayImage = previousFrame;
var difference = threshold.Apply(frame.Clone() as Bitmap);
// only keep big blobs
var filter = new BlobsFiltering();
filter.CoupledSizeFiltering = true;
filter.MinHeight = int.Parse(txt_tamanio2.Text);
filter.MinWidth = int.Parse(txt_tamanio2.Text);
filter.ApplyInPlace(difference);
//var sobl = new SobelEdgeDetector();
//sobl.ApplyInPlace(difference);
//erode image
var erode = new Erosion3x3();
for (int i = 0; i < int.Parse(txt_ers.Text); i++)
{
erode.ApplyInPlace(difference);
//erode.ApplyInPlace(difference);
//erode.ApplyInPlace(difference);
}
// dilate remaining blobs
var dilate = new BinaryDilation3x3();
for (int i = 0; i < int.Parse(txt_dils.Text); i++)
{
dilate.ApplyInPlace(difference);
//dilate.ApplyInPlace(difference);
//dilate.ApplyInPlace(difference);
//dilate.ApplyInPlace(difference);
}
// put this image in the thresholded picturebox
thresholdedBox.Image = difference.Clone() as Bitmap;
// use this as a mask for the current frame
var mask = new ApplyMask(difference);
var maskedFrame = mask.Apply(frame);
// put this image in the masked picturebox
maskedBox.Image = maskedFrame.Clone() as Bitmap;
// now find all moving blobs
if (frameIndex % 10 == 0)
{
var counter = new BlobCounter();
counter.ProcessImage(difference);
// only keep blobs that:
// - do not overlap with known cars
// - do not overlap with other blobs
// - have crossed the middle of the frame
// - are at least 100 pixels tall
var blobs = counter.GetObjectsRectangles();
var newBlobs = from r in counter.GetObjectsRectangles()
where !trackers.Any(t => t.Tracker.TrackingObject.Rectangle.IntersectsWith(r)) &&
!blobs.Any(b => b.IntersectsWith(r) && b != r) &&
r.Top >= 240 && r.Bottom <= 480 &&
r.Height >= int.Parse(txt_tamanio.Text)
select r;
// set up new camshift trackers for each detected blob
foreach (var rect in newBlobs)
{
trackers.Add(new TrackerType(rect, frameIndex, ++carIndex));
}
}
// now kill all car trackers that have expanded by too much
trackers.RemoveAll(t => t.Tracker.TrackingObject.Rectangle.Height > 360);
// and kill all trackers that have lived for 30 frames
//trackers.RemoveAll(t => frameIndex - t.StartIndex > 30);
trackers.RemoveAll(t => frameIndex - t.StartIndex > frames);
// let all remaining trackers process the current frame
var img = UnmanagedImage.FromManagedImage(maskedFrame);
trackers
.ForEach(t => t.Tracker.ProcessFrame(img));
// remember this frame for next iteration
previousFrame.Dispose();
previousFrame = frame.Clone() as Bitmap;
//escribir etiqueta para cada vehiculo
var outputFrame = frame.Clone() as Bitmap;
trackers
.FindAll(t => !t.Tracker.TrackingObject.IsEmpty)
.ForEach(t => DrawCarLabel(outputFrame, t.Tracker.TrackingObject.Rectangle, t.CarNumber));
// regresar frame procesado
frame = outputFrame;
//pb_ipcam.Image = outputFrame;
pb_lprptzanalitica.Image = outputFrame;
}
else
{ // recordar para siguiente iteracion
previousFrame = frame.Clone() as Bitmap;
}
frameIndex++;
}
catch (Exception)
{
MessageBox.Show("Error al decodificar video de PTZ, LPR o ANALITICA");
}
}