Indicates whether this instance and a specified object are equal.

Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection.

Returns the hash code for this instance.

Gets the Type of the current instance.

Creates a shallow copy of the current Object.

Returns the fully qualified type name of this instance.

How quickly we forget old background pixel values seen. Typically set to 0.1

Controls speed of feature learning. Depends on T. Typical value circa 0.005.

Alternate to alpha2, used (e.g.) for quicker initial convergence. Typical value 0.1.

Affects color and color co-occurrence quantization, typically set to 2.

If 1 we ignore holes within foreground blobs. Defaults to 1.

Quantized levels per 'color' component. Power of two, typically 32, 64 or 128.

Quantized levels per 'color co-occurrence' component. Power of two, typically 16, 32 or 64.

Discard foreground blobs whose bounding box is smaller than this threshold. Try 15 for default

Number of color vectors used to model normal background color variation at a given pixel. Try 15 for default.

Number of color co-occurrence vectors used to model normal background color variation at a given pixel. Try 25 for default.

Number of color vectors retained at given pixel. Must be > N1c, typically ~ 5/3 of N1c.

Number of color co-occurrence vectors retained at given pixel. Must be > N1cc, typically ~ 5/3 of N1cc.

Number of erode-dilate-erode foreground-blob cleanup iterations.

A percentage value which determines when new features can be recognized as new background. (Typically 0.9).