Base class for background/foreground segmentation. : [詳解]

cv::Algorithmを継承しています。

公開メンバ関数
virtual CV_WRAP void	apply (InputArray image, OutputArray fgmask, double learningRate=-1)=0
	Computes a foreground mask. [詳解]

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

その他の継承メンバ
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]

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

詳解

Base class for background/foreground segmentation. :

The class is only used to define the common interface for the whole family of background/foreground segmentation algorithms.

関数詳解

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

pure virtual

Computes a foreground mask.

引数

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.

cv::BackgroundSubtractorMOG2で実装されています。

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

pure virtual

Computes a background image.

引数

backgroundImage The output background image.

覚え書き: Sometimes the background image can be very blurry, as it contain the average background statistics.

このクラス詳解は次のファイルから抽出されました: