cv::SparsePyrLKOpticalFlow Class Reference

Class used for calculating a sparse optical flow. More...

#include <opencv2/video/tracking.hpp>

Inheritance diagram for cv::SparsePyrLKOpticalFlow:

Public Member Functions
virtual int	getFlags () const =0
virtual int	getMaxLevel () const =0
virtual double	getMinEigThreshold () const =0
virtual TermCriteria	getTermCriteria () const =0
virtual Size	getWinSize () const =0
virtual void	setFlags (int flags)=0
virtual void	setMaxLevel (int maxLevel)=0
virtual void	setMinEigThreshold (double minEigThreshold)=0
virtual void	setTermCriteria (TermCriteria &crit)=0
virtual void	setWinSize (Size winSize)=0
Public Member Functions inherited from cv::SparseOpticalFlow
virtual void	calc (InputArray prevImg, InputArray nextImg, InputArray prevPts, InputOutputArray nextPts, OutputArray status, OutputArray err=cv::noArray())=0
	Calculates a sparse optical flow. More...
Public Member Functions inherited from cv::Algorithm
	Algorithm ()
virtual	~Algorithm ()
virtual void	clear ()
	Clears the algorithm state. More...
virtual bool	empty () const
	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read. More...
virtual String	getDefaultName () const
virtual void	read (const FileNode &fn)
	Reads algorithm parameters from a file storage. More...
virtual void	save (const String &filename) const
virtual void	write (FileStorage &fs) const
	Stores algorithm parameters in a file storage. More...
void	write (const Ptr< FileStorage > &fs, const String &name=String()) const
	simplified API for language bindings This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More...

Static Public Member Functions
static Ptr< SparsePyrLKOpticalFlow >	create (Size winSize=Size(21, 21), int maxLevel=3, TermCriteria crit=TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 30, 0.01), int flags=0, double minEigThreshold=1e-4)
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. More...
template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	Loads algorithm from a String. More...
template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node. More...

Additional Inherited Members
Protected Member Functions inherited from cv::Algorithm
void	writeFormat (FileStorage &fs) const

Detailed Description

Class used for calculating a sparse optical flow.

The class can calculate an optical flow for a sparse feature set using the iterative Lucas-Kanade method with pyramids.

See also

calcOpticalFlowPyrLK

Member Function Documentation

create()

static Ptr<SparsePyrLKOpticalFlow> cv::SparsePyrLKOpticalFlow::create ( Size  winSize = Size(21, 21), int  maxLevel = 3, TermCriteria  crit = TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 30, 0.01), int  flags = 0, double  minEigThreshold = 1e-4  )

static

Python:
	retval	=	cv.SparsePyrLKOpticalFlow_create(	[, winSize[, maxLevel[, crit[, flags[, minEigThreshold]]]]]	)

getFlags()

virtual int cv::SparsePyrLKOpticalFlow::getFlags ( ) const

pure virtual

Python:
	retval	=	cv.SparsePyrLKOpticalFlow.getFlags(		)

getMaxLevel()

virtual int cv::SparsePyrLKOpticalFlow::getMaxLevel ( ) const

pure virtual

Python:
	retval	=	cv.SparsePyrLKOpticalFlow.getMaxLevel(		)

getMinEigThreshold()

virtual double cv::SparsePyrLKOpticalFlow::getMinEigThreshold ( ) const

pure virtual

Python:
	retval	=	cv.SparsePyrLKOpticalFlow.getMinEigThreshold(		)

getTermCriteria()

virtual TermCriteria cv::SparsePyrLKOpticalFlow::getTermCriteria ( ) const

pure virtual

Python:
	retval	=	cv.SparsePyrLKOpticalFlow.getTermCriteria(		)

getWinSize()

virtual Size cv::SparsePyrLKOpticalFlow::getWinSize ( ) const

pure virtual

Python:
	retval	=	cv.SparsePyrLKOpticalFlow.getWinSize(		)

setFlags()

virtual void cv::SparsePyrLKOpticalFlow::setFlags ( int  flags )

pure virtual

Python:
	None	=	cv.SparsePyrLKOpticalFlow.setFlags(	flags	)

setMaxLevel()

virtual void cv::SparsePyrLKOpticalFlow::setMaxLevel ( int  maxLevel )

pure virtual

Python:
	None	=	cv.SparsePyrLKOpticalFlow.setMaxLevel(	maxLevel	)

setMinEigThreshold()

virtual void cv::SparsePyrLKOpticalFlow::setMinEigThreshold ( double  minEigThreshold )

pure virtual

Python:
	None	=	cv.SparsePyrLKOpticalFlow.setMinEigThreshold(	minEigThreshold	)

setTermCriteria()

virtual void cv::SparsePyrLKOpticalFlow::setTermCriteria ( TermCriteria &  crit )

pure virtual

Python:
	None	=	cv.SparsePyrLKOpticalFlow.setTermCriteria(	crit	)

setWinSize()

virtual void cv::SparsePyrLKOpticalFlow::setWinSize ( Size  winSize )

pure virtual

Python:
	None	=	cv.SparsePyrLKOpticalFlow.setWinSize(	winSize	)

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

• opencv2/video/tracking.hpp