private void initTracking(Bgr <byte>[,] frame)
{
initializeKalman(roi.Center());
//get hue channel from search area
var hsvImg = frame.ToHsv();
//user constraints...
Gray <byte>[,] mask = hsvImg.InRange(new Hsv <byte>(0, 0, (byte)minV), new Hsv <byte>(0, 0, (byte)maxV), Byte.MaxValue, 2);
originalObjHist.Calculate(hsvImg.SplitChannels <Hsv <byte>, byte>(roi, 0, 1), false, mask, roi.Location);
originalObjHist.Scale((float)1 / roi.Area());
//originalObjHist.Normalize(Byte.MaxValue);
var backgroundArea = roi.Inflate(1.5, 1.5, frame.Size());
var backgroundMask = mask.Clone(backgroundArea);
backgroundMask.SetValue <Gray <byte> >(0, new Rectangle(roi.X - backgroundArea.X, roi.Y - backgroundArea.Y, roi.Width, roi.Height));
backgroundHist.Calculate(hsvImg.SplitChannels <Hsv <byte>, byte>(backgroundArea, 0, 1), false, mask, backgroundArea.Location);
backgroundHist.Scale((float)1 / (backgroundArea.Area() - roi.Area()));
//backgroundHist.Normalize(Byte.MaxValue);
//how good originalObjHist and objHist match (suppresses possible selected background)
ratioHist = originalObjHist.CreateRatioHistogram(backgroundHist, Byte.MaxValue, 3);
searchArea = roi;
roi = Rectangle.Empty;
}
/// <summary>
/// Creates template from the input image by using provided parameters.
/// </summary>
/// <param name="sourceImage">Input image.</param>
/// <param name="minFeatureStrength">Minimum gradient value for the feature.</param>
/// <param name="maxNumberOfFeatures">Maximum number of features per template. The features will be extracted so that their locations are semi-uniformly spread.</param>
/// <param name="classLabel">Template class label.</param>
/// <param name="angle"></param>
public override void Initialize(Gray<byte>[,] sourceImage, int minFeatureStrength, int maxNumberOfFeatures, string classLabel, float angle)
{
base.Initialize(sourceImage, minFeatureStrength, maxNumberOfFeatures, classLabel, angle);
this.BinaryMask = sourceImage.Clone(BoundingRect);
if (this.BinaryMask[0, 0].Intensity != 0) //background should be black
BinaryMask = this.BinaryMask.Not();
this.BinaryMask = this.BinaryMask.ThresholdToZero((byte)(255 * 0.75), (byte)255); //if Gauss kernel was applied...
}