public void TrackingInit()
{
_faceTracker = new TrackerBoosting();
_faceTracker.Init(_frame, _faceRect);
_eyeLTracker = new TrackerBoosting();
_eyeLTracker.Init(_frame, _eyeLRect);
_eyeRTracker = new TrackerBoosting();
_eyeRTracker.Init(_frame, _eyeRRect);
}
protected override void DoTask() {
buffer.Bytes = Color.Pixels;
var scale = buffer.Resize(Color.Width / ratio, Color.Height / ratio, Emgu.CV.CvEnum.Inter.Cubic);
if (select != Rectangle.Empty) {
Log("Initialize ...");
current = new Rectangle(select.X / ratio, select.Y / ratio, select.Width / ratio, select.Height / ratio);
debug = new Rectangle(select.X, select.Y, select.Width , select.Height);
// MIL, BOOSTING, MEDIANFLOW, TLD, CMT
Mat mat = CvInvoke.CvArrToMat(scale, true);
tracker = new Tracker(ConfigManager.GetInstance().Find("cmt.algo", "CMT"));
tracker.init(mat, current);
select = Rectangle.Empty;
}
else if (current != Rectangle.Empty) {
Mat mat = CvInvoke.CvArrToMat(scale, true);
tracker.update(mat, ref current);
}
}
/// <summary>
/// Add a new object to be tracked. The defaultAlgorithm will be used the newly added tracker.
/// </summary>
/// <param name="image">Tnput image</param>
/// <param name="boundingBox">A rectangle represents ROI of the tracked object</param>
/// <returns>True if sucessfully added</returns>
public bool Add(Tracker tracker, Mat image, Rectangle boundingBox)
{
return(ContribInvoke.cveMultiTrackerAdd(_ptr, tracker, image, ref boundingBox));
}