Package boofcv.alg.background.stationary

Class BackgroundStationaryGmm_SB_MT<T extends ImageGray<T>>

java.lang.Object

boofcv.alg.background.BackgroundModel<T>

boofcv.alg.background.BackgroundModelStationary<T>

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

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

All Implemented Interfaces:

BackgroundAlgorithmGmm

@Generated("boofcv.alg.background.stationary.BackgroundStationaryGmm_SB")
public class BackgroundStationaryGmm_SB_MT<T extends ImageGray<T>>
extends BackgroundStationaryGmm<T>

Implementation of BackgroundAlgorithmGmm for ImageGray.

Field Summary

Fields inherited from class boofcv.alg.background.BackgroundModel

imageType, unknownValue

Constructor Summary

Constructors

Constructor	Description
BackgroundStationaryGmm_SB_MT(float learningPeriod, float decayCoef, int maxGaussians, ImageType<T> imageType)

Method Summary

Modifier and Type	Method	Description
void	segment(T frame, GrayU8 segmented)	Invoke to segment input image into background and foreground pixels.
void	updateBackground(T frame, @Nullable GrayU8 mask)	Updates the background and segments it at the same time.

Methods inherited from class boofcv.alg.background.stationary.BackgroundStationaryGmm

getInitialVariance, getLearningPeriod, getMaxDistance, reset, setInitialVariance, setLearningPeriod, setMaxDistance, setSignificantWeight, 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

BackgroundStationaryGmm_SB_MT

public BackgroundStationaryGmm_SB_MT(float learningPeriod,
 float decayCoef,
 int maxGaussians,
 ImageType<T> imageType)

Parameters:

learningPeriod - Specifies how fast it will adjust to changes in the image. Must be greater than zero.

decayCoef - Determines how quickly a Gaussian is forgotten

maxGaussians - Maximum number of Gaussians in a mixture for a pixel

imageType - Type of image it's processing.

Method Details

updateBackground

public void updateBackground(T frame,
 @Nullable
 @Nullable GrayU8 mask)

Description copied from class: BackgroundModelStationary

Updates the background and segments it at the same time. In some implementations this can be significantly faster than doing it with separate function calls. Segmentation is performed using the model which it has prior to the update.

Overrides:

updateBackground in class BackgroundStationaryGmm<T extends ImageGray<T>>

mask - If null then the background mask is ignored

segment

public void segment(T frame,
 GrayU8 segmented)

Description copied from class: BackgroundModelStationary

Invoke to segment input image into background and foreground pixels. If 'segmented' isn't the correct size it will be resized.

Specified by:

segment in class BackgroundModelStationary<T extends ImageGray<T>>

Parameters:

frame - (input) current image

segmented - (output) Segmented image. 0 = background, 1 = foreground/moving