Package boofcv.alg.background.stationary

Class BackgroundStationaryBasic<T extends ImageBase<T>>

java.lang.Object

boofcv.alg.background.BackgroundModel<T>

boofcv.alg.background.BackgroundModelStationary<T>

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

All Implemented Interfaces:

BackgroundAlgorithmBasic

Direct Known Subclasses:

BackgroundStationaryBasic_IL, BackgroundStationaryBasic_IL_MT, BackgroundStationaryBasic_PL, BackgroundStationaryBasic_PL_MT, BackgroundStationaryBasic_SB, BackgroundStationaryBasic_SB_MT

public abstract class BackgroundStationaryBasic<T extends ImageBase<T>>
extends BackgroundModelStationary<T>
implements BackgroundAlgorithmBasic

Implementation of BackgroundAlgorithmBasic for stationary images.

See Also:

• BackgroundAlgorithmBasic
• BackgroundModelStationary

Field Summary

Fields

Modifier and Type	Field	Description
protected float	learnRate	Specifies how fast it will adapt.
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

Modifier	Constructor	Description
protected	BackgroundStationaryBasic(float learnRate, float threshold, ImageType<T> imageType)	Configures background model

Method Summary

Modifier and Type	Method	Description
float	getLearnRate()	Returns the learning rate.
float	getThreshold()	Returns the threshold for background/moving object.
void	setLearnRate(float learnRate)	Specifies the learning rate
void	setThreshold(float threshold)	Sets the threshold for background/moving object

Methods inherited from class boofcv.alg.background.BackgroundModelStationary

segment, updateBackground, 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 Details

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. If euclidean distance less than or equal to this value it is background.

Constructor Details

BackgroundStationaryBasic

protected BackgroundStationaryBasic(float learnRate,
 float threshold,
 ImageType<T> imageType)

Configures background model

Parameters:

learnRate - learning rate, 0 to 1. 0 = fastest and 1 = slowest.

threshold - Euclidean distance threshold. Background is ≤ this value

imageType - Type of input image

Method Details

getLearnRate

public float getLearnRate()

Description copied from interface: BackgroundAlgorithmBasic

Returns the learning rate.

Specified by:

getLearnRate in interface BackgroundAlgorithmBasic

Returns:

0 (slow) to 1 (fast)

setLearnRate

public void setLearnRate(float learnRate)

Description copied from interface: BackgroundAlgorithmBasic

Specifies the learning rate

Specified by:

setLearnRate in interface BackgroundAlgorithmBasic

Parameters:

learnRate - 0 (slow) to 1 (fast)

getThreshold

public float getThreshold()

Description copied from interface: BackgroundAlgorithmBasic

Returns the threshold for background/moving object.

Specified by:

getThreshold in interface BackgroundAlgorithmBasic

Returns:

background threshold

setThreshold

public void setThreshold(float threshold)

Description copied from interface: BackgroundAlgorithmBasic

Sets the threshold for background/moving object

Specified by:

setThreshold in interface BackgroundAlgorithmBasic

Parameters:

threshold - background threshold