Package org.opencv.bgsegm

Class BackgroundSubtractorGSOC

java.lang.Object

org.opencv.core.Algorithm

org.opencv.video.BackgroundSubtractor

org.opencv.bgsegm.BackgroundSubtractorGSOC

public class BackgroundSubtractorGSOC
extends BackgroundSubtractor

Implementation of the different yet better algorithm which is called GSOC, as it was implemented during GSOC and was not originated from any paper. This algorithm demonstrates better performance on CDNET 2014 dataset compared to other algorithms in OpenCV.

Field Summary

Fields inherited from class org.opencv.core.Algorithm

nativeObj

Constructor Summary

Constructors

Modifier	Constructor	Description
protected	BackgroundSubtractorGSOC(long addr)

Method Summary

Modifier and Type	Method	Description
static BackgroundSubtractorGSOC	__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.

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

BackgroundSubtractorGSOC

protected BackgroundSubtractorGSOC(long addr)

Method Detail

__fromPtr__

public static BackgroundSubtractorGSOC __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.

finalize

protected void finalize()
                 throws Throwable

Overrides:

finalize in class BackgroundSubtractor

Throws:

Throwable