Contents

step

System object: vision.ForegroundDetector
Package: vision

Detect foreground using Gaussian mixture models

Syntax

foregroundMask = step(H,I)
foregroundMask = step(H,I,learningRate)

Description

foregroundMask = step(H,I) computes the foreground mask for input image I, and returns a logical mask. When the object returns foregroundMask set to 1, it represents foreground pixels. Image I can be grayscale or color. When you set the AdaptLearningRate property to true (default), the object permits this form of the step function call.

foregroundMask = step(H,I,learningRate) computes the foreground mask for input image I using the LearningRate you provide. When you set the AdaptLearningRate property to false, the object permits this form of the step function call.

    Note:   H specifies the System object™ on which to run this step method.

    The object performs an initialization the first time the step method is executed. This initialization locks nontunable properties and input specifications, such as dimensions, complexity, and data type of the input data. If you change a nontunable property or an input specification, the System object issues an error. To change nontunable properties or inputs, you must first call the release method to unlock the object.

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