The BackgroundSubtractorKNN type exposes the following members.
Pointer to the unmanaged Algorithm object
Pointer to the unmanaged BackgroundSubtractor object
If true, the algorithm detects shadows and marks them.
The threshold on the squared distance between the pixel and the sample to decide whether a pixel is close to a data sample.
The number of last frames that affect the background model
The number of neighbours, the k in the kNN. K is the number of samples that need to be within dist2Threshold in order to decide that pixel is matching the kNN background model.
The number of data samples in the background model
Pointer to the unmanaged object(Inherited from UnmanagedObject.)
A shadow is detected if pixel is a darker version of the background. The shadow threshold (Tau in the paper) is a threshold defining how much darker the shadow can be. Tau= 0.5 means that if a pixel is more than twice darker then it is not shadow.
Shadow value is the value used to mark shadows in the foreground mask. Default value is 127. Value 0 in the mask always means background, 255 means foreground.