private static void Track()
{
using (var video = new CvCapture("data/bach.mp4"))
{
IplImage frame = null;
IplImage gray = null;
IplImage binary = null;
IplImage render = null;
IplImage renderTracks = null;
CvTracks tracks = new CvTracks();
CvWindow window = new CvWindow("render");
CvWindow windowTracks = new CvWindow("tracks");
for (int i = 0; ; i++)
{
frame = video.QueryFrame();
//if (frame == null)
// frame = new IplImage("data/shapes.png");
if (gray == null)
{
gray = new IplImage(frame.Size, BitDepth.U8, 1);
binary = new IplImage(frame.Size, BitDepth.U8, 1);
render = new IplImage(frame.Size, BitDepth.U8, 3);
renderTracks = new IplImage(frame.Size, BitDepth.U8, 3);
}
render.Zero();
renderTracks.Zero();
Cv.CvtColor(frame, gray, ColorConversion.BgrToGray);
Cv.Threshold(gray, binary, 0, 255, ThresholdType.Otsu);
CvBlobs blobs = new CvBlobs(binary);
CvBlobs newBlobs = new CvBlobs(blobs
.OrderByDescending(pair => pair.Value.Area)
.Take(200)
.ToDictionary(pair => pair.Key, pair => pair.Value), blobs.Labels);
newBlobs.RenderBlobs(binary, render);
window.ShowImage(render);
newBlobs.UpdateTracks(tracks, 10.0, Int32.MaxValue);
tracks.Render(binary, renderTracks);
windowTracks.ShowImage(renderTracks);
Cv.WaitKey(200);
Console.WriteLine(i);
}
}
}
/// <summary>
/// Updates list of tracks based on current blobs.
/// </summary>
/// <param name="blobs">List of blobs.</param>
/// <param name="tracks">List of tracks.</param>
/// <param name="thDistance">Max distance to determine when a track and a blob match.</param>
/// <param name="thInactive">Max number of frames a track can be inactive.</param>
/// <param name="thActive">If a track becomes inactive but it has been active less than thActive frames, the track will be deleted.</param>
/// <remarks>
/// Tracking based on:
/// A. Senior, A. Hampapur, Y-L Tian, L. Brown, S. Pankanti, R. Bolle. Appearance Models for
/// Occlusion Handling. Second International workshop on Performance Evaluation of Tracking and
/// Surveillance Systems & CVPR'01. December, 2001.
/// (http://www.research.ibm.com/peoplevision/PETS2001.pdf)
/// </remarks>
public static void UpdateTracks(CvBlobs blobs, CvTracks tracks, double thDistance, int thInactive, int thActive)
{
if (blobs == null)
throw new ArgumentNullException(nameof(blobs));
blobs.UpdateTracks(tracks, thDistance, thInactive, thActive);
}
private static void Track()
{
using (var video = new CvCapture("data/bach.mp4"))
{
IplImage frame = null;
IplImage gray = null;
IplImage binary = null;
IplImage render = null;
IplImage renderTracks = null;
CvTracks tracks = new CvTracks();
CvWindow window = new CvWindow("render");
CvWindow windowTracks = new CvWindow("tracks");
for (int i = 0; ; i++)
{
frame = video.QueryFrame();
//if (frame == null)
// frame = new IplImage("data/shapes.png");
if (gray == null)
{
gray = new IplImage(frame.Size, BitDepth.U8, 1);
binary = new IplImage(frame.Size, BitDepth.U8, 1);
render = new IplImage(frame.Size, BitDepth.U8, 3);
renderTracks = new IplImage(frame.Size, BitDepth.U8, 3);
}
render.Zero();
renderTracks.Zero();
Cv.CvtColor(frame, gray, ColorConversion.BgrToGray);
Cv.Threshold(gray, binary, 0, 255, ThresholdType.Otsu);
CvBlobs blobs = new CvBlobs(binary);
CvBlobs newBlobs = new CvBlobs(blobs
.OrderByDescending(pair => pair.Value.Area)
.Take(200)
.ToDictionary(pair => pair.Key, pair => pair.Value), blobs.Labels);
newBlobs.RenderBlobs(binary, render);
window.ShowImage(render);
newBlobs.UpdateTracks(tracks, 10.0, Int32.MaxValue);
tracks.Render(binary, renderTracks);
windowTracks.ShowImage(renderTracks);
Cv.WaitKey(200);
Console.WriteLine(i);
}
}
}