cv::saliency::MotionSaliencyBinWangApr2014 Class Reference

the Fast Self-tuning Background Subtraction Algorithm from [292] More...

#include <opencv2/saliency/saliencySpecializedClasses.hpp>

Collaboration diagram for cv::saliency::MotionSaliencyBinWangApr2014:

Public Member Functions
	MotionSaliencyBinWangApr2014 ()
virtual	~MotionSaliencyBinWangApr2014 ()
bool	computeSaliency (InputArray image, OutputArray saliencyMap)
int	getImageHeight () const
int	getImageWidth () const
bool	init ()
	This function allows the correct initialization of all data structures that will be used by the algorithm.
void	setImageHeight (int val)
void	setImagesize (int W, int H)
	This is a utility function that allows to set the correct size (taken from the input image) in the corresponding variables that will be used to size the data structures of the algorithm.
void	setImageWidth (int val)
Public Member Functions inherited from cv::saliency::Saliency
virtual	~Saliency ()
	Destructor.
bool	computeSaliency (InputArray image, OutputArray saliencyMap)
	Compute the saliency.
Public Member Functions inherited from cv::Algorithm
	Algorithm ()
virtual	~Algorithm ()
virtual void	clear ()
	Clears the algorithm state.
virtual bool	empty () const
	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.
virtual String	getDefaultName () const
virtual void	read (const FileNode &fn)
	Reads algorithm parameters from a file storage.
virtual void	save (const String &filename) const
void	write (const Ptr< FileStorage > &fs, const String &name=String()) const
virtual void	write (FileStorage &fs) const
	Stores algorithm parameters in a file storage.
void	write (FileStorage &fs, const String &name) const

Static Public Member Functions
static Ptr< MotionSaliencyBinWangApr2014 >	create ()
Static Public Member Functions inherited from cv::Algorithm
template<typename _Tp >
static Ptr< _Tp >	load (const String &filename, const String &objname=String())
	Loads algorithm from the file.
template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	Loads algorithm from a String.
template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node.

Protected Member Functions
bool	computeSaliencyImpl (InputArray image, OutputArray saliencyMap) CV_OVERRIDE
	Performs all the operations and calls all internal functions necessary for the accomplishment of the Fast Self-tuning Background Subtraction Algorithm algorithm.
Protected Member Functions inherited from cv::Algorithm
void	writeFormat (FileStorage &fs) const

Additional Inherited Members
Protected Attributes inherited from cv::saliency::Saliency
String	className

Detailed Description

the Fast Self-tuning Background Subtraction Algorithm from [292]

A Fast Self-tuning Background Subtraction Algorithm.

This background subtraction algorithm is inspired to the work of B. Wang and P. Dudek [2] [2] B. Wang and P. Dudek "A Fast Self-tuning Background Subtraction Algorithm", in proc of IEEE Workshop on Change Detection, 2014

Constructor & Destructor Documentation

MotionSaliencyBinWangApr2014()

cv::saliency::MotionSaliencyBinWangApr2014::MotionSaliencyBinWangApr2014

(

)

~MotionSaliencyBinWangApr2014()

virtual cv::saliency::MotionSaliencyBinWangApr2014::~MotionSaliencyBinWangApr2014 ( )

virtual

Member Function Documentation

computeSaliency()

bool cv::saliency::MotionSaliencyBinWangApr2014::computeSaliency ( InputArray  image, OutputArray  saliencyMap  )

inline

Python:
	cv.saliency.MotionSaliencyBinWangApr2014.computeSaliency(	image[, saliencyMap]	) ->	retval, saliencyMap

Here is the call graph for this function:

computeSaliencyImpl()

bool cv::saliency::MotionSaliencyBinWangApr2014::computeSaliencyImpl ( InputArray  image, OutputArray  saliencyMap  )

protectedvirtual

Performs all the operations and calls all internal functions necessary for the accomplishment of the Fast Self-tuning Background Subtraction Algorithm algorithm.

Parameters

image	input image. According to the needs of this specialized algorithm, the param image is a single Mat.
saliencyMap	Saliency Map. Is a binarized map that, in accordance with the nature of the algorithm, highlights the moving objects or areas of change in the scene. The saliency map is given by a single Mat (one for each frame of an hypothetical video stream).

Implements cv::saliency::MotionSaliency.

create()

static Ptr< MotionSaliencyBinWangApr2014 > cv::saliency::MotionSaliencyBinWangApr2014::create ( )

inlinestatic

Python:
	cv.saliency.MotionSaliencyBinWangApr2014.create(		) ->	retval
	cv.saliency.MotionSaliencyBinWangApr2014_create(		) ->	retval

getImageHeight()

int cv::saliency::MotionSaliencyBinWangApr2014::getImageHeight ( ) const

inline

Python:
	cv.saliency.MotionSaliencyBinWangApr2014.getImageHeight(		) ->	retval

getImageWidth()

int cv::saliency::MotionSaliencyBinWangApr2014::getImageWidth ( ) const

inline

Python:
	cv.saliency.MotionSaliencyBinWangApr2014.getImageWidth(		) ->	retval

init()

bool cv::saliency::MotionSaliencyBinWangApr2014::init

(

)

Python:
	cv.saliency.MotionSaliencyBinWangApr2014.init(		) ->	retval

This function allows the correct initialization of all data structures that will be used by the algorithm.

setImageHeight()

void cv::saliency::MotionSaliencyBinWangApr2014::setImageHeight ( int  val )

inline

Python:
	cv.saliency.MotionSaliencyBinWangApr2014.setImageHeight(	val	) ->	None

setImagesize()

void cv::saliency::MotionSaliencyBinWangApr2014::setImagesize	(	int	W,
		int	H
	)

Python:
	cv.saliency.MotionSaliencyBinWangApr2014.setImagesize(	W, H	) ->	None

This is a utility function that allows to set the correct size (taken from the input image) in the corresponding variables that will be used to size the data structures of the algorithm.

Parameters

W	width of input image
H	height of input image

setImageWidth()

void cv::saliency::MotionSaliencyBinWangApr2014::setImageWidth ( int  val )

inline

Python:
	cv.saliency.MotionSaliencyBinWangApr2014.setImageWidth(	val	) ->	None

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

• opencv2/saliency/saliencySpecializedClasses.hpp