OpenCV  3.4.20-dev
Open Source Computer Vision
Public Member Functions | List of all members
cv::cuda::BackgroundSubtractorGMG Class Referenceabstract

Background/Foreground Segmentation Algorithm. More...

#include <opencv2/cudalegacy.hpp>

Inheritance diagram for cv::cuda::BackgroundSubtractorGMG:
cv::BackgroundSubtractor cv::Algorithm

Public Member Functions

virtual void apply (InputArray image, OutputArray fgmask, double learningRate, Stream &stream)=0
virtual double getBackgroundPrior () const =0
virtual double getDecisionThreshold () const =0
virtual double getDefaultLearningRate () const =0
virtual int getMaxFeatures () const =0
virtual double getMaxVal () const =0
virtual double getMinVal () const =0
virtual int getNumFrames () const =0
virtual int getQuantizationLevels () const =0
virtual int getSmoothingRadius () const =0
virtual bool getUpdateBackgroundModel () const =0
virtual void setBackgroundPrior (double bgprior)=0
virtual void setDecisionThreshold (double thresh)=0
virtual void setDefaultLearningRate (double lr)=0
virtual void setMaxFeatures (int maxFeatures)=0
virtual void setMaxVal (double val)=0
virtual void setMinVal (double val)=0
virtual void setNumFrames (int nframes)=0
virtual void setQuantizationLevels (int nlevels)=0
virtual void setSmoothingRadius (int radius)=0
virtual void setUpdateBackgroundModel (bool update)=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 (FileStorage &fs, const String &name) const
void write (const Ptr< FileStorage > &fs, const String &name=String()) const

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

Background/Foreground Segmentation Algorithm.

The class discriminates between foreground and background pixels by building and maintaining a model of the background. Any pixel which does not fit this model is then deemed to be foreground. The class implements algorithm described in [88] .

Member Function Documentation

◆ apply()

virtual void cv::cuda::BackgroundSubtractorGMG::apply ( InputArray  image,
OutputArray  fgmask,
double  learningRate,
Stream stream 
pure virtual

◆ getBackgroundPrior()

virtual double cv::cuda::BackgroundSubtractorGMG::getBackgroundPrior ( ) const
pure virtual

◆ getDecisionThreshold()

virtual double cv::cuda::BackgroundSubtractorGMG::getDecisionThreshold ( ) const
pure virtual

◆ getDefaultLearningRate()

virtual double cv::cuda::BackgroundSubtractorGMG::getDefaultLearningRate ( ) const
pure virtual

◆ getMaxFeatures()

virtual int cv::cuda::BackgroundSubtractorGMG::getMaxFeatures ( ) const
pure virtual

◆ getMaxVal()

virtual double cv::cuda::BackgroundSubtractorGMG::getMaxVal ( ) const
pure virtual

◆ getMinVal()

virtual double cv::cuda::BackgroundSubtractorGMG::getMinVal ( ) const
pure virtual

◆ getNumFrames()

virtual int cv::cuda::BackgroundSubtractorGMG::getNumFrames ( ) const
pure virtual

◆ getQuantizationLevels()

virtual int cv::cuda::BackgroundSubtractorGMG::getQuantizationLevels ( ) const
pure virtual

◆ getSmoothingRadius()

virtual int cv::cuda::BackgroundSubtractorGMG::getSmoothingRadius ( ) const
pure virtual

◆ getUpdateBackgroundModel()

virtual bool cv::cuda::BackgroundSubtractorGMG::getUpdateBackgroundModel ( ) const
pure virtual

◆ setBackgroundPrior()

virtual void cv::cuda::BackgroundSubtractorGMG::setBackgroundPrior ( double  bgprior)
pure virtual

◆ setDecisionThreshold()

virtual void cv::cuda::BackgroundSubtractorGMG::setDecisionThreshold ( double  thresh)
pure virtual

◆ setDefaultLearningRate()

virtual void cv::cuda::BackgroundSubtractorGMG::setDefaultLearningRate ( double  lr)
pure virtual

◆ setMaxFeatures()

virtual void cv::cuda::BackgroundSubtractorGMG::setMaxFeatures ( int  maxFeatures)
pure virtual

◆ setMaxVal()

virtual void cv::cuda::BackgroundSubtractorGMG::setMaxVal ( double  val)
pure virtual

◆ setMinVal()

virtual void cv::cuda::BackgroundSubtractorGMG::setMinVal ( double  val)
pure virtual

◆ setNumFrames()

virtual void cv::cuda::BackgroundSubtractorGMG::setNumFrames ( int  nframes)
pure virtual

◆ setQuantizationLevels()

virtual void cv::cuda::BackgroundSubtractorGMG::setQuantizationLevels ( int  nlevels)
pure virtual

◆ setSmoothingRadius()

virtual void cv::cuda::BackgroundSubtractorGMG::setSmoothingRadius ( int  radius)
pure virtual

◆ setUpdateBackgroundModel()

virtual void cv::cuda::BackgroundSubtractorGMG::setUpdateBackgroundModel ( bool  update)
pure virtual

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