Base interface for sparse optical flow algorithms. More...

#include "tracking.hpp"

Inheritance diagram for cv::SparseOpticalFlow:

Public Member Functions
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...

Additional Inherited Members
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...

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

Detailed Description

Base interface for sparse optical flow algorithms.

Member Function Documentation

virtual void cv::SparseOpticalFlow::calc	(	InputArray	prevImg,
		InputArray	nextImg,
		InputArray	prevPts,
		InputOutputArray	nextPts,
		OutputArray	status,
		OutputArray	err = `cv::noArray()`
	)

pure virtual

Python:
	nextPts, status, err	=	cv.SparseOpticalFlow.calc(	prevImg, nextImg, prevPts, nextPts[, status[, err]]	)

Calculates a sparse optical flow.

Parameters

prevImg	First input image.
nextImg	Second input image of the same size and the same type as prevImg.
prevPts	Vector of 2D points for which the flow needs to be found.
nextPts	Output vector of 2D points containing the calculated new positions of input features in the second image.
status	Output status vector. Each element of the vector is set to 1 if the flow for the corresponding features has been found. Otherwise, it is set to 0.
err	Optional output vector that contains error response for each point (inverse confidence).

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