boofcv.alg.background.moving

Class BackgroundMovingGaussian_SB<T extends ImageGray,Motion extends InvertibleTransform<Motion>>

java.lang.Object

boofcv.alg.background.BackgroundModel<T>

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

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

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

All Implemented Interfaces:

BackgroundAlgorithmGaussian

public class BackgroundMovingGaussian_SB<T extends ImageGray,Motion extends InvertibleTransform<Motion>>
extends BackgroundMovingGaussian<T,Motion>

Implementation of BackgroundMovingGaussian for ImageGray.

Constructor Summary

Constructors

Constructor and Description
BackgroundMovingGaussian_SB(float learnRate, float threshold, PointTransformModel_F32<Motion> transform, TypeInterpolate interpType, java.lang.Class<T> imageType) Configurations background removal.

Method Summary

Modifier and Type	Method and Description
void	initialize(int backgroundWidth, int backgroundHeight, Motion homeToWorld) Initializes background model.
void	reset() Resets model to its original state

Methods inherited from class boofcv.alg.background.moving.BackgroundMovingGaussian

getInitialVariance, getLearnRate, getMinimumDifference, getThreshold, setInitialVariance, setLearnRate, setMinimumDifference, setThreshold

Methods inherited from class boofcv.alg.background.BackgroundModelMoving

segment, updateBackground

Methods inherited from class boofcv.alg.background.BackgroundModel

getImageType, getUnknownValue, setUnknownValue

Methods inherited from class java.lang.Object

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

Constructor Detail

BackgroundMovingGaussian_SB

public BackgroundMovingGaussian_SB(float learnRate,
                                   float threshold,
                                   PointTransformModel_F32<Motion> transform,
                                   TypeInterpolate interpType,
                                   java.lang.Class<T> imageType)

Configurations background removal.

Parameters:

learnRate - Specifies how quickly the background is updated. 0 = static 1.0 = instant. Try 0.05

threshold - Threshold for background. Try 10.

transform - Used to apply motion model

interpType - Type of interpolation. BILINEAR recommended for accuracy. NEAREST_NEIGHBOR for speed. .

imageType - Type of input image.

Method Detail

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 ImageGray,Motion extends InvertibleTransform<Motion>>

Parameters:

backgroundWidth - Width of background

backgroundHeight - Height of background

homeToWorld - Transform from home to world.

reset

public void reset()

Description copied from class: BackgroundModel

Resets model to its original state

Specified by:

reset in class BackgroundModel<T extends ImageGray>