Class BackgroundSubtractorKNN
- Namespace
- OpenCvSharp
- Assembly
- OpenCvSharp.dll
K nearest neigbours algorithm
public class BackgroundSubtractorKNN : BackgroundSubtractor, IDisposable
- Inheritance
-
BackgroundSubtractorKNN
- Implements
- Inherited Members
Properties
- DetectShadows
Returns the shadow detection flag. If true, the algorithm detects shadows and marks them. See createBackgroundSubtractorKNN for details.
- Dist2Threshold
Gets or sets the threshold on the squared distance between the pixel and the sample. The threshold on the squared distance between the pixel and the sample to decide whether a pixel is close to a data sample.
- History
Gets or sets the number of last frames that affect the background model.
- KNNSamples
Returns 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 that pixel is matching the kNN background model.
- NSamples
Gets or sets the number of data samples in the background model
- ShadowThreshold
Gets or sets the shadow threshold. 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. See Prati, Mikic, Trivedi and Cucchiara, Detecting Moving Shadows..., IEEE PAMI,2003.
- ShadowValue
Gets or sets the shadow value. 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.
Methods
- Create(int, double, bool)
Creates KNN Background Subtractor