#include <background_segm.hpp>

Inheritance diagram for cv::BackgroundSubtractorGMG:

Public Member Functions
	BackgroundSubtractorGMG ()

virtual	~BackgroundSubtractorGMG ()

virtual AlgorithmInfo *	info () const

void	initialize (cv::Size frameSize, double min, double max)

virtual void	operator() (InputArray image, OutputArray fgmask, double learningRate=-1.0)

void	release ()

Public Member Functions inherited from cv::BackgroundSubtractor
virtual	~BackgroundSubtractor ()
	the virtual destructor More...

virtual void	getBackgroundImage (OutputArray backgroundImage) const
	computes a background image More...

Public Member Functions inherited from cv::Algorithm
	Algorithm ()

virtual	~Algorithm ()

string	name () const

template<typename _Tp >
ParamType< _Tp >::member_type	get (const string &name) const

template<typename _Tp >
ParamType< _Tp >::member_type	get (const char *name) const

int	getInt (const string &name) const

double	getDouble (const string &name) const

bool	getBool (const string &name) const

string	getString (const string &name) const

Mat	getMat (const string &name) const

vector< Mat >	getMatVector (const string &name) const

Ptr< Algorithm >	getAlgorithm (const string &name) const

void	set (const string &name, int value)

void	set (const string &name, double value)

void	set (const string &name, bool value)

void	set (const string &name, const string &value)

void	set (const string &name, const Mat &value)

void	set (const string &name, const vector< Mat > &value)

void	set (const string &name, const Ptr< Algorithm > &value)

template<typename _Tp >
void	set (const string &name, const Ptr< _Tp > &value)

void	setInt (const string &name, int value)

void	setDouble (const string &name, double value)

void	setBool (const string &name, bool value)

void	setString (const string &name, const string &value)

void	setMat (const string &name, const Mat &value)

void	setMatVector (const string &name, const vector< Mat > &value)

void	setAlgorithm (const string &name, const Ptr< Algorithm > &value)

template<typename _Tp >
void	setAlgorithm (const string &name, const Ptr< _Tp > &value)

void	set (const char *name, int value)

void	set (const char *name, double value)

void	set (const char *name, bool value)

void	set (const char *name, const string &value)

void	set (const char *name, const Mat &value)

void	set (const char *name, const vector< Mat > &value)

void	set (const char *name, const Ptr< Algorithm > &value)

template<typename _Tp >
void	set (const char *name, const Ptr< _Tp > &value)

void	setInt (const char *name, int value)

void	setDouble (const char *name, double value)

void	setBool (const char *name, bool value)

void	setString (const char *name, const string &value)

void	setMat (const char *name, const Mat &value)

void	setMatVector (const char *name, const vector< Mat > &value)

void	setAlgorithm (const char *name, const Ptr< Algorithm > &value)

template<typename _Tp >
void	setAlgorithm (const char *name, const Ptr< _Tp > &value)

string	paramHelp (const string &name) const

int	paramType (const char *name) const

int	paramType (const string &name) const

void	getParams (CV_OUT vector< string > &names) const

virtual void	write (FileStorage &fs) const

virtual void	read (const FileNode &fn)

Public Attributes
int	maxFeatures
	Total number of distinct colors to maintain in histogram. More...

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

int	numInitializationFrames
	Number of frames of video to use to initialize histograms. More...

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

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

double	decisionThreshold
	Value above which pixel is determined to be FG. More...

int	smoothingRadius
	Smoothing radius, in pixels, for cleaning up FG image. More...

bool	updateBackgroundModel
	Perform background model update. More...

Additional Inherited Members
Public Types inherited from cv::Algorithm
typedef Algorithm (	Constructor) (void)

typedef int(Algorithm::*	Getter) () const

typedef void(Algorithm::*	Setter) (int)

Static Public Member Functions inherited from cv::Algorithm
static void	getList (CV_OUT vector< string > &algorithms)

static Ptr< Algorithm >	_create (const string &name)

template<typename _Tp >
static Ptr< _Tp >	create (const string &name)

Detailed Description

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.

Constructor & Destructor Documentation

§ BackgroundSubtractorGMG()

cv::BackgroundSubtractorGMG::BackgroundSubtractorGMG ( )

§ ~BackgroundSubtractorGMG()

virtual cv::BackgroundSubtractorGMG::~BackgroundSubtractorGMG ( )

virtual

Member Function Documentation

§ info()

virtual AlgorithmInfo* cv::BackgroundSubtractorGMG::info ( ) const

virtual

Reimplemented from cv::Algorithm.

§ initialize()

void cv::BackgroundSubtractorGMG::initialize	(	cv::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

§ operator()()

virtual void cv::BackgroundSubtractorGMG::operator()	(	InputArray	image,
		OutputArray	fgmask,
		double	learningRate = `-1.0`
	)

virtual

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

Parameters

image	Input image
fgmask	Output mask image representing foreground and background pixels
learningRate	Determines how quickly features are "forgotten" from histograms

Reimplemented from cv::BackgroundSubtractor.

§ release()

void cv::BackgroundSubtractorGMG::release ( )

Releases all inner buffers.

Member Data Documentation

§ backgroundPrior

double cv::BackgroundSubtractorGMG::backgroundPrior

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

§ decisionThreshold

double cv::BackgroundSubtractorGMG::decisionThreshold

Value above which pixel is determined to be FG.

§ learningRate

double cv::BackgroundSubtractorGMG::learningRate

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

§ maxFeatures

int cv::BackgroundSubtractorGMG::maxFeatures

Total number of distinct colors to maintain in histogram.

§ numInitializationFrames

int cv::BackgroundSubtractorGMG::numInitializationFrames

Number of frames of video to use to initialize histograms.

§ quantizationLevels

int cv::BackgroundSubtractorGMG::quantizationLevels

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

§ smoothingRadius

int cv::BackgroundSubtractorGMG::smoothingRadius

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

§ updateBackgroundModel

bool cv::BackgroundSubtractorGMG::updateBackgroundModel

Perform background model update.

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

background_segm.hpp

Public Member Functions

Public Attributes

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

§ BackgroundSubtractorGMG()

§ ~BackgroundSubtractorGMG()

Member Function Documentation

§ info()

§ initialize()

§ operator()()

§ release()

Member Data Documentation

§ backgroundPrior

§ decisionThreshold

§ learningRate

§ maxFeatures

§ numInitializationFrames

§ quantizationLevels

§ smoothingRadius

§ updateBackgroundModel