boofcv.alg.background.stationary

Class BackgroundStationaryGaussian<T extends boofcv.struct.image.ImageBase>

java.lang.Object

boofcv.alg.background.BackgroundModel<T>

boofcv.alg.background.BackgroundModelStationary<T>

boofcv.alg.background.stationary.BackgroundStationaryGaussian<T>

All Implemented Interfaces:

BackgroundAlgorithmGaussian

Direct Known Subclasses:

BackgroundStationaryGaussian_IL, BackgroundStationaryGaussian_PL, BackgroundStationaryGaussian_SB

public abstract class BackgroundStationaryGaussian<T extends boofcv.struct.image.ImageBase>
extends BackgroundModelStationary<T>
implements BackgroundAlgorithmGaussian

Implementation of BackgroundAlgorithmGaussian for moving images.

See Also:

BackgroundAlgorithmGaussian, BackgroundModelMoving

Field Summary

Fields

Modifier and Type	Field and Description
protected float	initialVariance The initial variance assigned to a new pixel.
protected float	learnRate Specifies how fast it will adapt.
protected float	minimumDifference
protected float	threshold Threshold for classifying a pixel as background or not.

Fields inherited from class boofcv.alg.background.BackgroundModel

imageType, unknownValue

Constructor Summary

Constructors

Constructor and Description
BackgroundStationaryGaussian(float learnRate, float threshold, boofcv.struct.image.ImageType<T> imageType) See class documentation for parameters definitions.

Method Summary

Modifier and Type	Method and Description
float	getInitialVariance() Returns the initial variance assigned to a pixel
float	getLearnRate() Returns the learning rate.
float	getMinimumDifference()
float	getThreshold()
void	setInitialVariance(float initialVariance) Sets the initial variance assigned to a pixel
void	setLearnRate(float learnRate) Specifies the learning rate
void	setMinimumDifference(float minimumDifference)
void	setThreshold(float threshold)

Methods inherited from class boofcv.alg.background.BackgroundModelStationary

segment, updateBackground

Methods inherited from class boofcv.alg.background.BackgroundModel

getImageType, getUnknownValue, reset, setUnknownValue

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

learnRate

protected float learnRate

Specifies how fast it will adapt. 0 to 1, inclusive. 0 = static 1.0 = instant.

threshold

protected float threshold

Threshold for classifying a pixel as background or not. This threshold is applied to the computed Mahalanobis from the distribution.

initialVariance

protected float initialVariance

The initial variance assigned to a new pixel. Larger values to reduce false positives due to under sampling

minimumDifference

protected float minimumDifference

Constructor Detail

BackgroundStationaryGaussian

public BackgroundStationaryGaussian(float learnRate,
                                    float threshold,
                                    boofcv.struct.image.ImageType<T> imageType)

See class documentation for parameters definitions.

Parameters:

learnRate - Specifies how quickly the background is updated Try 0.05

threshold - Threshold for background. ≥ 0. Try 10

imageType - Type of input image

Method Detail

getInitialVariance

public float getInitialVariance()

Description copied from interface: BackgroundAlgorithmGaussian

Returns the initial variance assigned to a pixel

Specified by:

getInitialVariance in interface BackgroundAlgorithmGaussian

Returns:

initial variance

setInitialVariance

public void setInitialVariance(float initialVariance)

Description copied from interface: BackgroundAlgorithmGaussian

Sets the initial variance assigned to a pixel

Specified by:

setInitialVariance in interface BackgroundAlgorithmGaussian

Parameters:

initialVariance - initial variance

getLearnRate

public float getLearnRate()

Description copied from interface: BackgroundAlgorithmGaussian

Returns the learning rate.

Specified by:

getLearnRate in interface BackgroundAlgorithmGaussian

Returns:

0 (slow) to 1 (fast)

setLearnRate

public void setLearnRate(float learnRate)

Description copied from interface: BackgroundAlgorithmGaussian

Specifies the learning rate

Specified by:

setLearnRate in interface BackgroundAlgorithmGaussian

Parameters:

learnRate - 0 (slow) to 1 (fast)

getThreshold

public float getThreshold()

Specified by:

getThreshold in interface BackgroundAlgorithmGaussian

setThreshold

public void setThreshold(float threshold)

Specified by:

setThreshold in interface BackgroundAlgorithmGaussian

getMinimumDifference

public float getMinimumDifference()

Specified by:

getMinimumDifference in interface BackgroundAlgorithmGaussian

setMinimumDifference

public void setMinimumDifference(float minimumDifference)

Specified by:

setMinimumDifference in interface BackgroundAlgorithmGaussian