Package org.opencv.video
Class BackgroundSubtractor
- java.lang.Object
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- org.opencv.core.Algorithm
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- org.opencv.video.BackgroundSubtractor
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- Direct Known Subclasses:
BackgroundSubtractorCNT
,BackgroundSubtractorGMG
,BackgroundSubtractorGSOC
,BackgroundSubtractorKNN
,BackgroundSubtractorLSBP
,BackgroundSubtractorMOG
,BackgroundSubtractorMOG2
public class BackgroundSubtractor extends Algorithm
Base class for background/foreground segmentation. : The class is only used to define the common interface for the whole family of background/foreground segmentation algorithms.
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Constructor Summary
Constructors Modifier Constructor Description protected
BackgroundSubtractor(long addr)
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description static BackgroundSubtractor
__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
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Method Detail
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__fromPtr__
public static BackgroundSubtractor __fromPtr__(long addr)
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apply
public void apply(Mat image, Mat fgmask, double learningRate)
Computes a foreground mask.- 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.
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apply
public void apply(Mat image, Mat fgmask)
Computes a foreground mask.- 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.
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getBackgroundImage
public void getBackgroundImage(Mat backgroundImage)
Computes a background image.- Parameters:
backgroundImage
- The output background image. Note: Sometimes the background image can be very blurry, as it contain the average background statistics.
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