public void BackgroundSubtractor_Example()
{
VideoCapture capture = new VideoCapture(0);
using var MOG2 = BackgroundSubtractorMOG2.Create();
using var MOG = BackgroundSubtractorMOG.Create();
using var GMG = BackgroundSubtractorGMG.Create();
using var KNN = BackgroundSubtractorKNN.Create();
using Mat frame = new Mat();
using Mat MOG2remove = new Mat();
using Mat MOGremove = new Mat();
using Mat GMG2remove = new Mat();
using Mat KNNremove = new Mat();
Window win_MOG2 = new Window("MOG2");
Window win_GMG = new Window("GMG");
Window win_MOG = new Window("MOG");
Window win_KNN = new Window("KNN");
while (Cv2.WaitKey(1) < 0)
{
capture.Read(frame);
MOG2.Apply(frame, MOG2remove);
MOG.Apply(frame, MOGremove);
GMG.Apply(frame, GMG2remove);
KNN.Apply(frame, KNNremove);
win_MOG2.ShowImage(MOG2remove);
win_GMG.ShowImage(MOGremove);
win_MOG.ShowImage(GMG2remove);
win_KNN.ShowImage(KNNremove);
}
}
public Detector()
{
cascade = new CascadeClassifier(@"../cascade/cars.xml");
dScaleFactor = 1.1;
uMinNeighbors = 2;
minSize = new Size(100, 100);
this.bckSub = BackgroundSubtractorKNN.Create();
this.fgMask = new Mat();
this.kernel1 = Cv2.GetStructuringElement(MorphShapes.Rect, new Size(5, 5));
this.kernel2 = Cv2.GetStructuringElement(MorphShapes.Rect, new Size(5, 5));
}
public void UpdateDetector(int history = 500, float threshold = 16, bool shadowDetection = true)
{
ForegroundDetector = new BackgroundSubtractorKNN(history, threshold, shadowDetection);// new BackgroundSubtractorMOG2(history, threshold, shadowDetection);
}
public MotionBackgroundSubtraction()
{
ForegroundDetector = new BackgroundSubtractorKNN(500, 16, false);
ForegroundMask = new Mat();
}
