org.bytedeco.javacpp

Class opencv_bgsegm.BackgroundSubtractorCNT

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.opencv_core.Algorithm

org.bytedeco.javacpp.opencv_video.BackgroundSubtractor

org.bytedeco.javacpp.opencv_bgsegm.BackgroundSubtractorCNT

All Implemented Interfaces:

AutoCloseable

Enclosing class:

opencv_bgsegm

@Namespace(value="cv::bgsegm")
public static class opencv_bgsegm.BackgroundSubtractorCNT
extends opencv_video.BackgroundSubtractor

\brief 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 )

Nested Class Summary

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

org.bytedeco.javacpp.Pointer.CustomDeallocator, org.bytedeco.javacpp.Pointer.Deallocator, org.bytedeco.javacpp.Pointer.NativeDeallocator

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
BackgroundSubtractorCNT(org.bytedeco.javacpp.Pointer p) Pointer cast constructor.

Method Summary

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

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

clear, empty, getDefaultName, 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, hashCode, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, put, realloc, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

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

Constructor Detail

BackgroundSubtractorCNT

public BackgroundSubtractorCNT(org.bytedeco.javacpp.Pointer p)

Pointer cast constructor. Invokes Pointer.Pointer(Pointer).

Method Detail

apply

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

Description copied from class: opencv_video.BackgroundSubtractor

\brief Computes a foreground mask.

Overrides:

apply in class opencv_video.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(@ByVal
                  opencv_core.Mat image,
                  @ByVal
                  opencv_core.Mat fgmask)

Overrides:

apply in class opencv_video.BackgroundSubtractor

apply

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

Overrides:

apply in class opencv_video.BackgroundSubtractor

apply

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

Overrides:

apply in class opencv_video.BackgroundSubtractor

apply

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

Overrides:

apply in class opencv_video.BackgroundSubtractor

apply

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

Overrides:

apply in class opencv_video.BackgroundSubtractor

getBackgroundImage

public void getBackgroundImage(@ByVal
                               opencv_core.Mat backgroundImage)

Description copied from class: opencv_video.BackgroundSubtractor

\brief Computes a background image.

Overrides:

getBackgroundImage in class opencv_video.BackgroundSubtractor

Parameters:

backgroundImage - The output background image.

\note Sometimes the background image can be very blurry, as it contain the average background statistics.

getBackgroundImage

public void getBackgroundImage(@ByVal
                               opencv_core.UMat backgroundImage)

Overrides:

getBackgroundImage in class opencv_video.BackgroundSubtractor

getBackgroundImage

public void getBackgroundImage(@ByVal
                               opencv_core.GpuMat backgroundImage)

Overrides:

getBackgroundImage in class opencv_video.BackgroundSubtractor

getMinPixelStability

public int getMinPixelStability()

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

setMinPixelStability

public void setMinPixelStability(int value)

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

getMaxPixelStability

public int getMaxPixelStability()

\brief Returns maximum allowed credit for a pixel in history.

setMaxPixelStability

public void setMaxPixelStability(int value)

\brief Sets the maximum allowed credit for a pixel in history.

getUseHistory

@Cast(value="bool")
public boolean getUseHistory()

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

setUseHistory

public void setUseHistory(@Cast(value="bool")
                          boolean value)

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

getIsParallel

@Cast(value="bool")
public boolean getIsParallel()

\brief Returns if we're parallelizing the algorithm.

setIsParallel

public void setIsParallel(@Cast(value="bool")
                          boolean value)

\brief Sets if we're parallelizing the algorithm.