BackgroundSubtractorKNN Class

Gets or sets a memory address allocated by AllocMemory.

Gets or sets the byte length of the allocated memory

Native pointer of OpenCV structure

Gets or sets a handle which allocates using cvSetData.

Returns the shadow detection flag. If true, the algorithm detects shadows and marks them. See createBackgroundSubtractorKNN for details.

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.

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

Gets or sets the number of last frames that affect the background model.

Gets a value indicating whether this instance has been disposed.

Gets or sets a value indicating whether you permit disposing this instance.

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.

Gets or sets the number of data samples in the background model

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.

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.

Pins the object to be allocated by cvSetData.

Allocates the specified size of memory.

the update operator that takes the next video frame and returns the current foreground mask as 8-bit binary image.

Creates KNN Background Subtractor

Releases the resources

Releases the resources

Releases managed resources

releases unmanaged resources

Determines whether the specified object is equal to the current object.

Destructor

computes a background image

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

Serves as the default hash function.

Gets the Type of the current instance.

Creates a shallow copy of the current Object.

Notifies the allocated size of memory.

Reads algorithm parameters from a file storage

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage fs).

If this object is disposed, then ObjectDisposedException is thrown.

Returns a string that represents the current object.

Stores algorithm parameters in a file storage

Data pointer