org.bytedeco.opencv.opencv_bgsegm

Class BackgroundSubtractorMOG

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.opencv.opencv_core.Algorithm

org.bytedeco.opencv.opencv_video.BackgroundSubtractor

org.bytedeco.opencv.opencv_bgsegm.BackgroundSubtractorMOG

All Implemented Interfaces:

AutoCloseable

@Namespace(value="cv::bgsegm")
 @Properties(inherit=opencv_bgsegm.class)
public class BackgroundSubtractorMOG
extends BackgroundSubtractor

\addtogroup bgsegm \{

/** \brief Gaussian Mixture-based Background/Foreground Segmentation Algorithm.

The class implements the algorithm described in \cite KB2001 .

Nested Class Summary

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
BackgroundSubtractorMOG(Algorithm pointer) Downcast constructor.
BackgroundSubtractorMOG(Pointer p) Pointer cast constructor.

Method Summary

Modifier and Type	Method and Description
void	apply(GpuMat image, GpuMat fgmask)
void	apply(GpuMat image, GpuMat fgmask, double learningRate)
void	apply(GpuMat image, GpuMat knownForegroundMask, GpuMat fgmask)
void	apply(GpuMat image, GpuMat knownForegroundMask, GpuMat fgmask, double learningRate)
void	apply(Mat image, Mat fgmask)
void	apply(Mat image, Mat fgmask, double learningRate) \brief Computes a foreground mask.
void	apply(Mat image, Mat knownForegroundMask, Mat fgmask)
void	apply(Mat image, Mat knownForegroundMask, Mat fgmask, double learningRate) \brief Computes a foreground mask and skips known foreground in evaluation.
void	apply(UMat image, UMat fgmask)
void	apply(UMat image, UMat fgmask, double learningRate)
void	apply(UMat image, UMat knownForegroundMask, UMat fgmask)
void	apply(UMat image, UMat knownForegroundMask, UMat fgmask, double learningRate)
double	getBackgroundRatio()
int	getHistory()
int	getNMixtures()
double	getNoiseSigma()
void	setBackgroundRatio(double backgroundRatio)
void	setHistory(int nframes)
void	setNMixtures(int nmix)
void	setNoiseSigma(double noiseSigma)

Methods inherited from class org.bytedeco.opencv.opencv_video.BackgroundSubtractor

asAlgorithm, asAlgorithm, getBackgroundImage, getBackgroundImage, getBackgroundImage

Methods inherited from class org.bytedeco.opencv.opencv_core.Algorithm

clear, empty, getDefaultName, getPointer, position, read, save, save, write, write, write

Methods inherited from class org.bytedeco.javacpp.Pointer

address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, getDirectBufferAddress, getPointer, getPointer, getPointer, hashCode, interruptDeallocatorThread, isNull, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetAddress, offsetof, offsetof, parseBytes, physicalBytes, physicalBytesInaccurate, position, put, realloc, referenceCount, releaseReference, retainReference, setNull, sizeof, sizeof, toString, totalBytes, totalCount, totalPhysicalBytes, trimMemory, withDeallocator, zero

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

BackgroundSubtractorMOG

public BackgroundSubtractorMOG(Pointer p)

Pointer cast constructor. Invokes Pointer(Pointer).

BackgroundSubtractorMOG

public BackgroundSubtractorMOG(Algorithm pointer)

Downcast constructor.

Method Detail

apply

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

\brief Computes a foreground mask.

Overrides:

apply in class BackgroundSubtractor

Parameters:

image - Next video frame of type CV_8UC(n),CV_8SC(n),CV_16UC(n),CV_16SC(n),CV_32SC(n),CV_32FC(n),CV_64FC(n), where n is 1,2,3,4.

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(@ByVal
                  Mat image,
                  @ByVal
                  Mat fgmask)

Overrides:

apply in class BackgroundSubtractor

apply

public void apply(@ByVal
                  UMat image,
                  @ByVal
                  UMat fgmask,
                  double learningRate)

Overrides:

apply in class BackgroundSubtractor

apply

public void apply(@ByVal
                  UMat image,
                  @ByVal
                  UMat fgmask)

Overrides:

apply in class BackgroundSubtractor

apply

public void apply(@ByVal
                  GpuMat image,
                  @ByVal
                  GpuMat fgmask,
                  double learningRate)

Overrides:

apply in class BackgroundSubtractor

apply

public void apply(@ByVal
                  GpuMat image,
                  @ByVal
                  GpuMat fgmask)

Overrides:

apply in class BackgroundSubtractor

apply

public void apply(@ByVal
                  Mat image,
                  @ByVal
                  Mat knownForegroundMask,
                  @ByVal
                  Mat fgmask,
                  double learningRate)

\brief Computes a foreground mask and skips known foreground in evaluation.

Overrides:

apply in class BackgroundSubtractor

Parameters:

image - Next video frame of type CV_8UC(n),CV_8SC(n),CV_16UC(n),CV_16SC(n),CV_32SC(n),CV_32FC(n),CV_64FC(n), where n is 1,2,3,4.

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

knownForegroundMask - The mask for inputting already known foreground, allows model to ignore learning known pixels.

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(@ByVal
                  Mat image,
                  @ByVal
                  Mat knownForegroundMask,
                  @ByVal
                  Mat fgmask)

Overrides:

apply in class BackgroundSubtractor

apply

public void apply(@ByVal
                  UMat image,
                  @ByVal
                  UMat knownForegroundMask,
                  @ByVal
                  UMat fgmask,
                  double learningRate)

Overrides:

apply in class BackgroundSubtractor

apply

public void apply(@ByVal
                  UMat image,
                  @ByVal
                  UMat knownForegroundMask,
                  @ByVal
                  UMat fgmask)

Overrides:

apply in class BackgroundSubtractor

apply

public void apply(@ByVal
                  GpuMat image,
                  @ByVal
                  GpuMat knownForegroundMask,
                  @ByVal
                  GpuMat fgmask,
                  double learningRate)

Overrides:

apply in class BackgroundSubtractor

apply

public void apply(@ByVal
                  GpuMat image,
                  @ByVal
                  GpuMat knownForegroundMask,
                  @ByVal
                  GpuMat fgmask)

Overrides:

apply in class BackgroundSubtractor

getHistory

public int getHistory()

setHistory

public void setHistory(int nframes)

getNMixtures

public int getNMixtures()

setNMixtures

public void setNMixtures(int nmix)

getBackgroundRatio

public double getBackgroundRatio()

setBackgroundRatio

public void setBackgroundRatio(double backgroundRatio)

getNoiseSigma

public double getNoiseSigma()

setNoiseSigma

public void setNoiseSigma(double noiseSigma)