cv::saliency::MotionSaliencyBinWangApr2014 クラス

the Fast Self-tuning Background Subtraction Algorithm from [BinWangApr2014] [詳解]

#include <saliencySpecializedClasses.hpp>

cv::saliency::MotionSaliencyを継承しています。

公開メンバ関数
CV_WRAP bool	computeSaliency (InputArray image, OutputArray saliencyMap)
CV_WRAP 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. [詳解]
CV_WRAP bool	init ()
	This function allows the correct initialization of all data structures that will be used by the algorithm.
CV_WRAP int	getImageWidth () const
CV_WRAP void	setImageWidth (int val)
CV_WRAP int	getImageHeight () const
CV_WRAP void	setImageHeight (int val)
基底クラス cv::saliency::Saliency に属する継承公開メンバ関数
virtual	~Saliency ()
	Destructor
CV_WRAP bool	computeSaliency (InputArray image, OutputArray saliencyMap)
	Compute the saliency [詳解]
基底クラス cv::Algorithm に属する継承公開メンバ関数
virtual CV_WRAP void	clear ()
	Clears the algorithm state [詳解]
virtual void	write (FileStorage &fs) const
	Stores algorithm parameters in a file storage [詳解]
CV_WRAP void	write (const Ptr< FileStorage > &fs, const String &name=String()) const
	simplified API for language bindings これはオーバーロードされたメンバ関数です。利便性のために用意されています。元の関数との違いは引き数のみです。
virtual CV_WRAP void	read (const FileNode &fn)
	Reads algorithm parameters from a file storage [詳解]
virtual CV_WRAP bool	empty () const
	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read [詳解]
virtual CV_WRAP void	save (const String &filename) const
virtual CV_WRAP String	getDefaultName () const

静的公開メンバ関数
static CV_WRAP Ptr< MotionSaliencyBinWangApr2014 >	create ()
基底クラス cv::Algorithm に属する継承静的公開メンバ関数
template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node [詳解]
template<typename _Tp >
static Ptr< _Tp >	load (const String &filename, const String &objname=String())
	Loads algorithm from the file [詳解]
template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	Loads algorithm from a String [詳解]

限定公開メンバ関数
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. [詳解]
基底クラス cv::Algorithm に属する継承限定公開メンバ関数
void	writeFormat (FileStorage &fs) const

その他の継承メンバ
基底クラス cv::saliency::Saliency に属する継承限定公開変数類
String	className

詳解

the Fast Self-tuning Background Subtraction Algorithm from [BinWangApr2014]

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

関数詳解

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.

引数

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).

cv::saliency::MotionSaliencyを実装しています。

setImagesize()

CV_WRAP void cv::saliency::MotionSaliencyBinWangApr2014::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.

引数

W	width of input image
H	height of input image

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このクラス詳解は次のファイルから抽出されました:

• saliencySpecializedClasses.hpp