cv::saliency::MotionSaliencyBinWangApr2014 Class Reference

the Fast Self-tuning Background Subtraction Algorithm from More...

#include <opencv2/saliency/saliencySpecializedClasses.hpp>

Inheritance 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)

Static Public Member Functions
static Ptr < MotionSaliencyBinWangApr2014 >	create ()

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.

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

Detailed Description

the Fast Self-tuning Background Subtraction Algorithm from

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, 2014BinWangApr2014

Constructor & Destructor Documentation

cv::saliency::MotionSaliencyBinWangApr2014::MotionSaliencyBinWangApr2014

(

)

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

virtual

Member Function Documentation

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

inline

Python:
	retval, saliencyMap	=	cv.saliency_MotionSaliencyBinWangApr2014.computeSaliency(	image[, saliencyMap]	)

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.

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

inlinestatic

Python:
	retval	=	cv.saliency.MotionSaliencyBinWangApr2014_create(		)

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

inline

Python:
	retval	=	cv.saliency_MotionSaliencyBinWangApr2014.getImageHeight(		)

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

inline

Python:
	retval	=	cv.saliency_MotionSaliencyBinWangApr2014.getImageWidth(		)

bool cv::saliency::MotionSaliencyBinWangApr2014::init

(

)

Python:
	retval	=	cv.saliency_MotionSaliencyBinWangApr2014.init(		)

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

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

inline

Python:
	None	=	cv.saliency_MotionSaliencyBinWangApr2014.setImageHeight(	val	)

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

Python:
	None	=	cv.saliency_MotionSaliencyBinWangApr2014.setImagesize(	W, 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.

Parameters

W	width of input image
H	height of input image

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

inline

Python:
	None	=	cv.saliency_MotionSaliencyBinWangApr2014.setImageWidth(	val	)

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

• saliencySpecializedClasses.hpp