OpenCV  3.3.0-dev
Open Source Computer Vision
Public Member Functions | Static Public Member Functions | List of all members
cv::SparsePyrLKOpticalFlow Class Referenceabstract

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

#include "tracking.hpp"

Inheritance diagram for cv::SparsePyrLKOpticalFlow:
cv::SparseOpticalFlow cv::Algorithm

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...
 

Static Public Member Functions

static Ptr< SparsePyrLKOpticalFlowcreate (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

◆ getFlags()

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

◆ getMaxLevel()

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

◆ getMinEigThreshold()

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

◆ getTermCriteria()

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

◆ getWinSize()

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

◆ setFlags()

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

◆ setMaxLevel()

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

◆ setMinEigThreshold()

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

◆ setTermCriteria()

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

◆ setWinSize()

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

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