OpenCV  4.1.2-pre
Open Source Computer Vision
Public Member Functions | List of all members
cv::bgsegm::BackgroundSubtractorMOG Class Referenceabstract

Gaussian Mixture-based Background/Foreground Segmentation Algorithm. More...

#include <opencv2/bgsegm.hpp>

Inheritance diagram for cv::bgsegm::BackgroundSubtractorMOG:
cv::BackgroundSubtractor cv::Algorithm

Public Member Functions

virtual double getBackgroundRatio () const =0
 
virtual int getHistory () const =0
 
virtual int getNMixtures () const =0
 
virtual double getNoiseSigma () const =0
 
virtual void setBackgroundRatio (double backgroundRatio)=0
 
virtual void setHistory (int nframes)=0
 
virtual void setNMixtures (int nmix)=0
 
virtual void setNoiseSigma (double noiseSigma)=0
 
- Public Member Functions inherited from cv::BackgroundSubtractor
virtual void apply (InputArray image, OutputArray fgmask, double learningRate=-1)=0
 Computes a foreground mask. More...
 
virtual void getBackgroundImage (OutputArray backgroundImage) const =0
 Computes a background image. 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

Gaussian Mixture-based Background/Foreground Segmentation Algorithm.

The class implements the algorithm described in [106] .

Member Function Documentation

§ getBackgroundRatio()

virtual double cv::bgsegm::BackgroundSubtractorMOG::getBackgroundRatio ( ) const
pure virtual
Python:
retval=cv.bgsegm_BackgroundSubtractorMOG.getBackgroundRatio()

§ getHistory()

virtual int cv::bgsegm::BackgroundSubtractorMOG::getHistory ( ) const
pure virtual
Python:
retval=cv.bgsegm_BackgroundSubtractorMOG.getHistory()

§ getNMixtures()

virtual int cv::bgsegm::BackgroundSubtractorMOG::getNMixtures ( ) const
pure virtual
Python:
retval=cv.bgsegm_BackgroundSubtractorMOG.getNMixtures()

§ getNoiseSigma()

virtual double cv::bgsegm::BackgroundSubtractorMOG::getNoiseSigma ( ) const
pure virtual
Python:
retval=cv.bgsegm_BackgroundSubtractorMOG.getNoiseSigma()

§ setBackgroundRatio()

virtual void cv::bgsegm::BackgroundSubtractorMOG::setBackgroundRatio ( double  backgroundRatio)
pure virtual
Python:
None=cv.bgsegm_BackgroundSubtractorMOG.setBackgroundRatio(backgroundRatio)

§ setHistory()

virtual void cv::bgsegm::BackgroundSubtractorMOG::setHistory ( int  nframes)
pure virtual
Python:
None=cv.bgsegm_BackgroundSubtractorMOG.setHistory(nframes)

§ setNMixtures()

virtual void cv::bgsegm::BackgroundSubtractorMOG::setNMixtures ( int  nmix)
pure virtual
Python:
None=cv.bgsegm_BackgroundSubtractorMOG.setNMixtures(nmix)

§ setNoiseSigma()

virtual void cv::bgsegm::BackgroundSubtractorMOG::setNoiseSigma ( double  noiseSigma)
pure virtual
Python:
None=cv.bgsegm_BackgroundSubtractorMOG.setNoiseSigma(noiseSigma)

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