Gaussian Mixture-based Background/Foreground Segmentation Algorithm. More...

#include "cudabgsegm.hpp"

Inheritance diagram for cv::cuda::BackgroundSubtractorMOG:

Collaboration diagram for cv::cuda::BackgroundSubtractorMOG:

Public Member Functions
virtual void	apply (InputArray image, OutputArray fgmask, double learningRate=-1)=0
	Computes a foreground mask. More...

virtual void	apply (InputArray image, OutputArray fgmask, double learningRate, Stream &stream)=0

virtual void	clear ()
	Clears the algorithm state. More...

virtual bool	empty () const
	Returns true if the Algorithm is empty (e.g. More...

virtual void	getBackgroundImage (OutputArray backgroundImage) const =0
	Computes a background image. More...

virtual void	getBackgroundImage (OutputArray backgroundImage, Stream &stream) const =0

virtual double	getBackgroundRatio () const =0

virtual String	getDefaultName () const
	Returns the algorithm string identifier. More...

virtual int	getHistory () const =0

virtual int	getNMixtures () const =0

virtual double	getNoiseSigma () const =0

virtual void	read (const FileNode &fn)
	Reads algorithm parameters from a file storage. More...

virtual void	save (const String &filename) const
	Saves the algorithm to a file. More...

virtual void	setBackgroundRatio (double backgroundRatio)=0

virtual void	setHistory (int nframes)=0

virtual void	setNMixtures (int nmix)=0

virtual void	setNoiseSigma (double noiseSigma)=0

virtual void	write (FileStorage &fs) const
	Stores algorithm parameters in a file storage. More...

void	write (const Ptr< FileStorage > &fs, const String &name=String()) const
	simplified API for language bindings This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More...

Static Public Member Functions
template<typename _Tp >
static Ptr< _Tp >	load (const String &filename, const String &objname=String())
	Loads algorithm from the file. More...

template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	Loads algorithm from a String. More...

template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node. More...

Protected Member Functions
void	writeFormat (FileStorage &fs) const

Detailed Description

Gaussian Mixture-based Background/Foreground Segmentation Algorithm.

The class discriminates between foreground and background pixels by building and maintaining a model of the background. Any pixel which does not fit this model is then deemed to be foreground. The class implements algorithm described in [45] .

See also: BackgroundSubtractorMOG

Note

An example on gaussian mixture based background/foreground segmantation can be found at opencv_source_code/samples/gpu/bgfg_segm.cpp

Member Function Documentation

◆ apply() [1/2]

virtual void cv::BackgroundSubtractor::apply	(	InputArray	image,
		OutputArray	fgmask,
		double	learningRate = `-1`
	)

pure virtualinherited

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.

Implemented in cv::BackgroundSubtractorMOG2.

◆ apply() [2/2]

virtual void cv::cuda::BackgroundSubtractorMOG::apply	(	InputArray	image,
		OutputArray	fgmask,
		double	learningRate,
		Stream &	stream
	)

pure virtual

◆ clear()

virtual void cv::Algorithm::clear ( )

inlinevirtualinherited

Clears the algorithm state.

Reimplemented in cv::FlannBasedMatcher, cv::DescriptorMatcher, and cv::cuda::DescriptorMatcher.

◆ empty()

virtual bool cv::Algorithm::empty ( ) const

inlinevirtualinherited

Returns true if the Algorithm is empty (e.g.

in the very beginning or after unsuccessful read

Reimplemented in cv::DescriptorMatcher, cv::ml::StatModel, cv::Feature2D, cv::BaseCascadeClassifier, and cv::cuda::DescriptorMatcher.

◆ getBackgroundImage() [1/2]

virtual void cv::BackgroundSubtractor::getBackgroundImage ( OutputArray backgroundImage ) const

pure virtualinherited

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.

◆ getBackgroundImage() [2/2]

virtual void cv::cuda::BackgroundSubtractorMOG::getBackgroundImage	(	OutputArray	backgroundImage,
		Stream &	stream
	)		const

pure virtual

◆ getBackgroundRatio()

virtual double cv::cuda::BackgroundSubtractorMOG::getBackgroundRatio ( ) const

pure virtual

◆ getDefaultName()

virtual String cv::Algorithm::getDefaultName ( ) const

virtualinherited

Returns the algorithm string identifier.

This string is used as top level xml/yml node tag when the object is saved to a file or string.

Reimplemented in cv::AKAZE, cv::KAZE, cv::SimpleBlobDetector, cv::GFTTDetector, cv::AgastFeatureDetector, cv::FastFeatureDetector, cv::MSER, cv::ORB, cv::BRISK, and cv::Feature2D.

◆ getHistory()

virtual int cv::cuda::BackgroundSubtractorMOG::getHistory ( ) const

pure virtual

◆ getNMixtures()

virtual int cv::cuda::BackgroundSubtractorMOG::getNMixtures ( ) const

pure virtual

◆ getNoiseSigma()

virtual double cv::cuda::BackgroundSubtractorMOG::getNoiseSigma ( ) const

pure virtual

◆ load()

template<typename _Tp >

static Ptr<_Tp> cv::Algorithm::load	(	const String &	filename,
		const String &	objname = `String()`
	)

inlinestaticinherited

Loads algorithm from the file.

Parameters

filename	Name of the file to read.
objname	The optional name of the node to read (if empty, the first top-level node will be used)

This is static template method of Algorithm. It's usage is following (in the case of SVM):

Ptr<SVM> svm = Algorithm::load<SVM>("my_svm_model.xml");

In order to make this method work, the derived class must overwrite Algorithm::read(const FileNode& fn).

References CV_Assert, cv::FileNode::empty(), cv::FileStorage::getFirstTopLevelNode(), cv::FileStorage::isOpened(), and cv::FileStorage::READ.

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◆ loadFromString()

template<typename _Tp >

static Ptr<_Tp> cv::Algorithm::loadFromString	(	const String &	strModel,
		const String &	objname = `String()`
	)

inlinestaticinherited

Loads algorithm from a String.

Parameters

strModel	The string variable containing the model you want to load.
objname	The optional name of the node to read (if empty, the first top-level node will be used)

This is static template method of Algorithm. It's usage is following (in the case of SVM):

Ptr<SVM> svm = Algorithm::loadFromString<SVM>(myStringModel);

References CV_WRAP, cv::FileNode::empty(), cv::FileStorage::getFirstTopLevelNode(), cv::FileStorage::MEMORY, and cv::FileStorage::READ.

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◆ read() [1/2]

virtual void cv::Algorithm::read ( const FileNode & fn )

inlinevirtualinherited

Reads algorithm parameters from a file storage.

Reimplemented in cv::FlannBasedMatcher, cv::DescriptorMatcher, and cv::Feature2D.

◆ read() [2/2]

template<typename _Tp >

static Ptr<_Tp> cv::Algorithm::read ( const FileNode & fn )

inlinestaticinherited

Reads algorithm from the file node.

This is static template method of Algorithm. It's usage is following (in the case of SVM):

cv::FileStorage fsRead("example.xml", FileStorage::READ);

Ptr<SVM> svm = Algorithm::read<SVM>(fsRead.root());

In order to make this method work, the derived class must overwrite Algorithm::read(const FileNode& fn) and also have static create() method without parameters (or with all the optional parameters)

◆ save()

virtual void cv::Algorithm::save ( const String & filename ) const

virtualinherited

Saves the algorithm to a file.

In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

◆ setBackgroundRatio()

virtual void cv::cuda::BackgroundSubtractorMOG::setBackgroundRatio ( double backgroundRatio )

pure virtual

◆ setHistory()

virtual void cv::cuda::BackgroundSubtractorMOG::setHistory ( int nframes )

pure virtual

◆ setNMixtures()

virtual void cv::cuda::BackgroundSubtractorMOG::setNMixtures ( int nmix )

pure virtual

◆ setNoiseSigma()

virtual void cv::cuda::BackgroundSubtractorMOG::setNoiseSigma ( double noiseSigma )

pure virtual

◆ write() [1/2]

virtual void cv::Algorithm::write ( FileStorage & fs ) const

inlinevirtualinherited

Stores algorithm parameters in a file storage.

Reimplemented in cv::FlannBasedMatcher, cv::DescriptorMatcher, and cv::Feature2D.

References CV_WRAP.

Referenced by cv::Feature2D::write(), and cv::DescriptorMatcher::write().

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◆ write() [2/2]

void cv::Algorithm::write	(	const Ptr< FileStorage > &	fs,
		const String &	name = `String()`
	)		const

inherited

simplified API for language bindings This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

◆ writeFormat()

void cv::Algorithm::writeFormat ( FileStorage & fs ) const

protectedinherited

The documentation for this class was generated from the following file:

cudabgsegm/include/opencv2/cudabgsegm.hpp

Public Member Functions

Static Public Member Functions

Protected Member Functions

Detailed Description

Member Function Documentation

◆ apply() [1/2]

◆ apply() [2/2]

◆ clear()

◆ empty()

◆ getBackgroundImage() [1/2]

◆ getBackgroundImage() [2/2]

◆ getBackgroundRatio()

◆ getDefaultName()

◆ getHistory()

◆ getNMixtures()

◆ getNoiseSigma()

◆ load()

◆ loadFromString()

◆ read() [1/2]

◆ read() [2/2]

◆ save()

◆ setBackgroundRatio()

◆ setHistory()

◆ setNMixtures()

◆ setNoiseSigma()

◆ write() [1/2]

◆ write() [2/2]

◆ writeFormat()