Package boofcv.alg.background.moving

Class BackgroundMovingGmm<T extends ImageBase<T>,Motion extends InvertibleTransform<Motion>>

java.lang.Object

boofcv.alg.background.BackgroundModel<T>

boofcv.alg.background.BackgroundModelMoving<T,Motion>

boofcv.alg.background.moving.BackgroundMovingGmm<T,Motion>

All Implemented Interfaces:

BackgroundAlgorithmGmm

Direct Known Subclasses:

BackgroundMovingGmm_MB, BackgroundMovingGmm_MB_MT, BackgroundMovingGmm_SB, BackgroundMovingGmm_SB_MT

public abstract class BackgroundMovingGmm<T extends ImageBase<T>,Motion extends InvertibleTransform<Motion>>
extends BackgroundModelMoving<T,Motion>
implements BackgroundAlgorithmGmm

Implementation of BackgroundAlgorithmGmm for moving images.

See Also:

• BackgroundModelMoving

Field Summary

Fields inherited from class boofcv.alg.background.BackgroundModelMoving

_transform, backgroundHeight, backgroundWidth, corners, currentToWorld, homeToWorld, worldToCurrent, worldToHome

Fields inherited from class boofcv.alg.background.BackgroundModel

imageType, unknownValue

Constructor Summary

Constructors

Modifier	Constructor	Description
protected	BackgroundMovingGmm(float learningPeriod, float decayCoef, int maxGaussians, Point2Transform2Model_F32<Motion> transformImageType, ImageType<T> imageType)

Method Summary

Modifier and Type	Method	Description
BackgroundGmmCommon	getCommon()
float	getInitialVariance()	Returns the initial variance assigned to a pixel
float	getLearningPeriod()	Returns the learning period.
float	getMaxDistance()
void	initialize(int backgroundWidth, int backgroundHeight, Motion homeToWorld)	Initializes background model.
void	reset()	Resets model to its original state
void	setInitialVariance(float initialVariance)	Sets the initial variance assigned to a pixel
void	setLearningPeriod(float period)	Specifies the learning rate
void	setMaxDistance(float maxDistance)
void	setSignificantWeight(float value)	Minimum value of a Gaussian's weight to be considered part of the background

Methods inherited from class boofcv.alg.background.BackgroundModelMoving

_segment, segment, updateBackground, updateBackground

Methods inherited from class boofcv.alg.background.BackgroundModel

getImageType, getUnknownValue, setUnknownValue

Methods inherited from class java.lang.Object

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

Constructor Details

BackgroundMovingGmm

protected BackgroundMovingGmm(float learningPeriod,
 float decayCoef,
 int maxGaussians,
 Point2Transform2Model_F32<Motion> transformImageType,
 ImageType<T> imageType)

Method Details

reset

public void reset()

Description copied from class: BackgroundModel

Resets model to its original state

Specified by:

reset in class BackgroundModel<T extends ImageBase<T>>

initialize

public void initialize(int backgroundWidth,
 int backgroundHeight,
 Motion homeToWorld)

Description copied from class: BackgroundModelMoving

Initializes background model. Specifies the size of the background image and transform from the "home" image to the background "world"

Specified by:

initialize in class BackgroundModelMoving<T extends ImageBase<T>,Motion extends InvertibleTransform<Motion>>

Parameters:

backgroundWidth - Width of background

backgroundHeight - Height of background

homeToWorld - Transform from home to world.

getInitialVariance

public float getInitialVariance()

Description copied from interface: BackgroundAlgorithmGmm

Returns the initial variance assigned to a pixel

Specified by:

getInitialVariance in interface BackgroundAlgorithmGmm

Returns:

initial variance

setInitialVariance

public void setInitialVariance(float initialVariance)

Description copied from interface: BackgroundAlgorithmGmm

Sets the initial variance assigned to a pixel

Specified by:

setInitialVariance in interface BackgroundAlgorithmGmm

Parameters:

initialVariance - initial variance

getLearningPeriod

public float getLearningPeriod()

Description copied from interface: BackgroundAlgorithmGmm

Returns the learning period.

Specified by:

getLearningPeriod in interface BackgroundAlgorithmGmm

setLearningPeriod

public void setLearningPeriod(float period)

Description copied from interface: BackgroundAlgorithmGmm

Specifies the learning rate

Specified by:

setLearningPeriod in interface BackgroundAlgorithmGmm

Parameters:

period - Must be more than 0.

setSignificantWeight

public void setSignificantWeight(float value)

Description copied from interface: BackgroundAlgorithmGmm

Minimum value of a Gaussian's weight to be considered part of the background

Specified by:

setSignificantWeight in interface BackgroundAlgorithmGmm

getMaxDistance

public float getMaxDistance()

setMaxDistance

public void setMaxDistance(float maxDistance)

getCommon

public BackgroundGmmCommon getCommon()