org.bytedeco.javacpp

Class opencv_video.BackgroundSubtractorGMG

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.opencv_core.Algorithm

org.bytedeco.javacpp.opencv_video.BackgroundSubtractor

org.bytedeco.javacpp.opencv_video.BackgroundSubtractorGMG

Enclosing class:

opencv_video

public static class opencv_video.BackgroundSubtractorGMG
extends opencv_video.BackgroundSubtractor

Background Subtractor module. Takes a series of images and returns a sequence of mask (8UC1) images of the same size, where 255 indicates Foreground and 0 represents Background. This class implements an algorithm described in "Visual Tracking of Human Visitors under Variable-Lighting Conditions for a Responsive Audio Art Installation," A. Godbehere, A. Matsukawa, K. Goldberg, American Control Conference, Montreal, June 2012.

Nested Class Summary

Nested classes/interfaces inherited from class org.bytedeco.javacpp.opencv_core.Algorithm

opencv_core.Algorithm.Constructor, opencv_core.Algorithm.Getter, opencv_core.Algorithm.Setter

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

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
opencv_video.BackgroundSubtractorGMG()
opencv_video.BackgroundSubtractorGMG(int size)
opencv_video.BackgroundSubtractorGMG(Pointer p)

Method Summary

Methods

Modifier and Type	Method and Description
void	apply(opencv_core.Mat image, opencv_core.Mat fgmask)
void	apply(opencv_core.Mat image, opencv_core.Mat fgmask, double learningRate) Performs single-frame background subtraction and builds up a statistical background image model.
double	backgroundPrior() Prior probability that any given pixel is a background pixel.
opencv_video.BackgroundSubtractorGMG	backgroundPrior(double backgroundPrior)
double	decisionThreshold() Value above which pixel is determined to be FG.
opencv_video.BackgroundSubtractorGMG	decisionThreshold(double decisionThreshold)
opencv_core.AlgorithmInfo	info()
void	initialize(opencv_core.Size frameSize, double min, double max) Validate parameters and set up data structures for appropriate image size.
double	learningRate() Set between 0.0 and 1.0, determines how quickly features are "forgotten" from histograms.
opencv_video.BackgroundSubtractorGMG	learningRate(double learningRate)
int	maxFeatures() Total number of distinct colors to maintain in histogram.
opencv_video.BackgroundSubtractorGMG	maxFeatures(int maxFeatures)
int	numInitializationFrames() Number of frames of video to use to initialize histograms.
opencv_video.BackgroundSubtractorGMG	numInitializationFrames(int numInitializationFrames)
opencv_video.BackgroundSubtractorGMG	position(int position)
int	quantizationLevels() Number of discrete levels in each channel to be used in histograms.
opencv_video.BackgroundSubtractorGMG	quantizationLevels(int quantizationLevels)
void	release() Releases all inner buffers.
int	smoothingRadius() Smoothing radius, in pixels, for cleaning up FG image.
opencv_video.BackgroundSubtractorGMG	smoothingRadius(int smoothingRadius)
boolean	updateBackgroundModel() Perform background model update
opencv_video.BackgroundSubtractorGMG	updateBackgroundModel(boolean updateBackgroundModel)

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

getBackgroundImage

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

_create, _create, getAlgorithm, getAlgorithm, getBool, getBool, getDouble, getDouble, getInt, getInt, getList, getMat, getMat, getMatVector, getMatVector, getParams, getString, getString, name, paramHelp, paramHelp, paramType, paramType, read, set, set, set, set, set, set, set, set, set, set, set, set, set, set, setAlgorithm, setAlgorithm, setBool, setBool, setDouble, setDouble, setInt, setInt, setMat, setMat, setMatVector, setMatVector, setString, setString, write

Methods inherited from class org.bytedeco.javacpp.Pointer

address, asBuffer, asByteBuffer, capacity, capacity, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, hashCode, isNull, limit, limit, memchr, memcmp, memcpy, memmove, memset, offsetof, position, put, setNull, sizeof, toString, withDeallocator, zero

Methods inherited from class java.lang.Object

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

Constructor Detail

opencv_video.BackgroundSubtractorGMG

public opencv_video.BackgroundSubtractorGMG(Pointer p)

opencv_video.BackgroundSubtractorGMG

public opencv_video.BackgroundSubtractorGMG(int size)

opencv_video.BackgroundSubtractorGMG

public opencv_video.BackgroundSubtractorGMG()

Method Detail

position

public opencv_video.BackgroundSubtractorGMG position(int position)

Overrides:

position in class opencv_video.BackgroundSubtractor

info

public opencv_core.AlgorithmInfo info()

Overrides:

info in class opencv_core.Algorithm

initialize

public void initialize(opencv_core.Size frameSize,
              double min,
              double max)

Validate parameters and set up data structures for appropriate image size. Must call before running on data.

Parameters:

frameSize - input frame size

min - minimum value taken on by pixels in image sequence. Usually 0

max - maximum value taken on by pixels in image sequence. e.g. 1.0 or 255

apply

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

Performs single-frame background subtraction and builds up a statistical background image model.

Overrides:

apply in class opencv_video.BackgroundSubtractor

Parameters:

image - Input image

fgmask - Output mask image representing foreground and background pixels

apply

public void apply(opencv_core.Mat image,
         opencv_core.Mat fgmask)

Overrides:

apply in class opencv_video.BackgroundSubtractor

release

public void release()

Releases all inner buffers.

maxFeatures

public int maxFeatures()

Total number of distinct colors to maintain in histogram.

maxFeatures

public opencv_video.BackgroundSubtractorGMG maxFeatures(int maxFeatures)

learningRate

public double learningRate()

Set between 0.0 and 1.0, determines how quickly features are "forgotten" from histograms.

learningRate

public opencv_video.BackgroundSubtractorGMG learningRate(double learningRate)

numInitializationFrames

public int numInitializationFrames()

Number of frames of video to use to initialize histograms.

numInitializationFrames

public opencv_video.BackgroundSubtractorGMG numInitializationFrames(int numInitializationFrames)

quantizationLevels

public int quantizationLevels()

Number of discrete levels in each channel to be used in histograms.

quantizationLevels

public opencv_video.BackgroundSubtractorGMG quantizationLevels(int quantizationLevels)

backgroundPrior

public double backgroundPrior()

Prior probability that any given pixel is a background pixel. A sensitivity parameter.

backgroundPrior

public opencv_video.BackgroundSubtractorGMG backgroundPrior(double backgroundPrior)

decisionThreshold

public double decisionThreshold()

Value above which pixel is determined to be FG.

decisionThreshold

public opencv_video.BackgroundSubtractorGMG decisionThreshold(double decisionThreshold)

smoothingRadius

public int smoothingRadius()

Smoothing radius, in pixels, for cleaning up FG image.

smoothingRadius

public opencv_video.BackgroundSubtractorGMG smoothingRadius(int smoothingRadius)

updateBackgroundModel

public boolean updateBackgroundModel()

Perform background model update

updateBackgroundModel

public opencv_video.BackgroundSubtractorGMG updateBackgroundModel(boolean updateBackgroundModel)