OpenCV  4.10.0
Open Source Computer Vision
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cv::cuda::BackgroundSubtractorMOG Class Referenceabstract

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

#include <opencv2/cudabgsegm.hpp>

Public Member Functions

virtual void apply (InputArray image, OutputArray fgmask, double learningRate, Stream &stream)=0
virtual void apply (InputArray image, OutputArray fgmask, double learningRate=-1)=0
 Computes a foreground mask.
void getBackgroundImage (GpuMat &backgroundImage, Stream &stream)
virtual void getBackgroundImage (OutputArray backgroundImage) const=0
 Computes a background image.
virtual void getBackgroundImage (OutputArray backgroundImage, Stream &stream) const =0
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::Algorithm
 Algorithm ()
virtual ~Algorithm ()
virtual void clear ()
 Clears the algorithm state.
virtual bool empty () const
 Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.
virtual String getDefaultName () const
virtual void read (const FileNode &fn)
 Reads algorithm parameters from a file storage.
virtual void save (const String &filename) const
void write (const Ptr< FileStorage > &fs, const String &name=String()) const
virtual void write (FileStorage &fs) const
 Stores algorithm parameters in a file storage.
void write (FileStorage &fs, const String &name) const

Additional Inherited Members

Static Public Member Functions inherited from cv::Algorithm
template<typename _Tp>
static Ptr< _Tpload (const String &filename, const String &objname=String())
 Loads algorithm from the file.
template<typename _Tp>
static Ptr< _TploadFromString (const String &strModel, const String &objname=String())
 Loads algorithm from a String.
template<typename _Tp>
static Ptr< _Tpread (const FileNode &fn)
 Reads algorithm from the file node.
Protected Member Functions inherited from cv::Algorithm
void writeFormat (FileStorage &fs) const

Detailed Description

Gaussian Mixture-based 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 [MOG2001] .

See also
BackgroundSubtractorMOG
Note
  • An example on gaussian mixture based background/foreground segmantation can be found at opencv_source_code/samples/gpu/bgfg_segm.cpp

Member Function Documentation

◆ apply() [1/2]

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

◆ apply() [2/2]

virtual void cv::BackgroundSubtractor::apply ( InputArray image,
OutputArray fgmask,
double learningRate = -1 )
virtual

Computes a foreground mask.

Parameters
imageNext video frame.
fgmaskThe output foreground mask as an 8-bit binary image.
learningRateThe value between 0 and 1 that indicates how fast the background model is learnt. Negative parameter value makes the algorithm to use some automatically chosen learning rate. 0 means that the background model is not updated at all, 1 means that the background model is completely reinitialized from the last frame.

Implements cv::BackgroundSubtractor.

◆ getBackgroundImage() [1/3]

void cv::cuda::BackgroundSubtractorMOG::getBackgroundImage ( GpuMat & backgroundImage,
Stream & stream )
inline

◆ getBackgroundImage() [2/3]

virtual void cv::BackgroundSubtractor::getBackgroundImage ( OutputArray backgroundImage) const
virtual

Computes a background image.

Parameters
backgroundImageThe output background image.
Note
Sometimes the background image can be very blurry, as it contain the average background statistics.

Implements cv::BackgroundSubtractor.

◆ getBackgroundImage() [3/3]

virtual void cv::cuda::BackgroundSubtractorMOG::getBackgroundImage ( OutputArray backgroundImage,
Stream & stream ) const
pure virtual

◆ getBackgroundRatio()

virtual double cv::cuda::BackgroundSubtractorMOG::getBackgroundRatio ( ) const
pure virtual

◆ getHistory()

virtual int cv::cuda::BackgroundSubtractorMOG::getHistory ( ) const
pure virtual

◆ getNMixtures()

virtual int cv::cuda::BackgroundSubtractorMOG::getNMixtures ( ) const
pure virtual

◆ getNoiseSigma()

virtual double cv::cuda::BackgroundSubtractorMOG::getNoiseSigma ( ) const
pure virtual

◆ setBackgroundRatio()

virtual void cv::cuda::BackgroundSubtractorMOG::setBackgroundRatio ( double backgroundRatio)
pure virtual

◆ setHistory()

virtual void cv::cuda::BackgroundSubtractorMOG::setHistory ( int nframes)
pure virtual

◆ setNMixtures()

virtual void cv::cuda::BackgroundSubtractorMOG::setNMixtures ( int nmix)
pure virtual

◆ setNoiseSigma()

virtual void cv::cuda::BackgroundSubtractorMOG::setNoiseSigma ( double noiseSigma)
pure virtual

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