Package org.opencv.bgsegm

Class BackgroundSubtractorCNT

java.lang.Object

org.opencv.core.Algorithm

org.opencv.video.BackgroundSubtractor

org.opencv.bgsegm.BackgroundSubtractorCNT

public class BackgroundSubtractorCNT
extends BackgroundSubtractor

Background subtraction based on counting. About as fast as MOG2 on a high end system. More than twice faster than MOG2 on cheap hardware (benchmarked on Raspberry Pi3). %Algorithm by Sagi Zeevi ( https://github.com/sagi-z/BackgroundSubtractorCNT )

Field Summary

Fields inherited from class org.opencv.core.Algorithm

nativeObj

Constructor Summary

Constructors

Modifier	Constructor	Description
protected	BackgroundSubtractorCNT(long addr)

Method Summary

Modifier and Type	Method	Description
static BackgroundSubtractorCNT	__fromPtr__(long addr)
void	apply(Mat image, Mat fgmask)	Computes a foreground mask.
void	apply(Mat image, Mat fgmask, double learningRate)	Computes a foreground mask.
protected void	finalize()
void	getBackgroundImage(Mat backgroundImage)	Computes a background image.
boolean	getIsParallel()	Returns if we're parallelizing the algorithm.
int	getMaxPixelStability()	Returns maximum allowed credit for a pixel in history.
int	getMinPixelStability()	Returns number of frames with same pixel color to consider stable.
boolean	getUseHistory()	Returns if we're giving a pixel credit for being stable for a long time.
void	setIsParallel(boolean value)	Sets if we're parallelizing the algorithm.
void	setMaxPixelStability(int value)	Sets the maximum allowed credit for a pixel in history.
void	setMinPixelStability(int value)	Sets the number of frames with same pixel color to consider stable.
void	setUseHistory(boolean value)	Sets if we're giving a pixel credit for being stable for a long time.

Methods inherited from class org.opencv.core.Algorithm

clear, empty, getDefaultName, getNativeObjAddr, save

Methods inherited from class java.lang.Object

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

Constructor Detail

BackgroundSubtractorCNT

protected BackgroundSubtractorCNT(long addr)

Method Detail

__fromPtr__

public static BackgroundSubtractorCNT __fromPtr__(long addr)

apply

public void apply(Mat image,
                  Mat fgmask,
                  double learningRate)

Description copied from class: BackgroundSubtractor

Computes a foreground mask.

Overrides:

apply in class BackgroundSubtractor

Parameters:

image - Next video frame.

fgmask - The output foreground mask as an 8-bit binary image.

learningRate - The value between 0 and 1 that indicates how fast the background model is learnt. Negative parameter value makes the algorithm to use some automatically chosen learning rate. 0 means that the background model is not updated at all, 1 means that the background model is completely reinitialized from the last frame.

apply

public void apply(Mat image,
                  Mat fgmask)

Description copied from class: BackgroundSubtractor

Computes a foreground mask.

Overrides:

apply in class BackgroundSubtractor

Parameters:

image - Next video frame.

fgmask - The output foreground mask as an 8-bit binary image. learnt. Negative parameter value makes the algorithm to use some automatically chosen learning rate. 0 means that the background model is not updated at all, 1 means that the background model is completely reinitialized from the last frame.

getBackgroundImage

public void getBackgroundImage(Mat backgroundImage)

Description copied from class: BackgroundSubtractor

Computes a background image.

Overrides:

getBackgroundImage in class BackgroundSubtractor

Parameters:

backgroundImage - The output background image. Note: Sometimes the background image can be very blurry, as it contain the average background statistics.

getMinPixelStability

public int getMinPixelStability()

Returns number of frames with same pixel color to consider stable.

Returns:

automatically generated

setMinPixelStability

public void setMinPixelStability(int value)

Sets the number of frames with same pixel color to consider stable.

Parameters:

value - automatically generated

getMaxPixelStability

public int getMaxPixelStability()

Returns maximum allowed credit for a pixel in history.

Returns:

automatically generated

setMaxPixelStability

public void setMaxPixelStability(int value)

Sets the maximum allowed credit for a pixel in history.

Parameters:

value - automatically generated

getUseHistory

public boolean getUseHistory()

Returns if we're giving a pixel credit for being stable for a long time.

Returns:

automatically generated

setUseHistory

public void setUseHistory(boolean value)

Sets if we're giving a pixel credit for being stable for a long time.

Parameters:

value - automatically generated

getIsParallel

public boolean getIsParallel()

Returns if we're parallelizing the algorithm.

Returns:

automatically generated

setIsParallel

public void setIsParallel(boolean value)

Sets if we're parallelizing the algorithm.

Parameters:

value - automatically generated

finalize

protected void finalize()
                 throws java.lang.Throwable

Overrides:

finalize in class BackgroundSubtractor

Throws:

java.lang.Throwable