| OpenCV 3.4.7 Open Source Computer Vision

Public Member Functions | List of all members
cv::bgsegm::BackgroundSubtractorGSOC Class Referenceabstract
Improved Background-Foreground Segmentation Methods

Implementation of the different yet better algorithm which is called GSOC, as it was implemented during GSOC and was not originated from any paper. More...

`#include <opencv2/bgsegm.hpp>`

Inheritance diagram for cv::bgsegm::BackgroundSubtractorGSOC:

## Public Member Functions
virtual void | apply (InputArray image, OutputArray fgmask, double learningRate=-1) CV_OVERRIDE=0
| Computes a foreground mask. More...
virtual void | getBackgroundImage (OutputArray backgroundImage) const CV_OVERRIDE=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

Implementation of the different yet better algorithm which is called GSOC, as it was implemented during GSOC and was not originated from any paper.

This algorithm demonstrates better performance on CDNET 2014 dataset compared to other algorithms in OpenCV.

## Member Function Documentation

## § apply()

virtual void cv::bgsegm::BackgroundSubtractorGSOC::apply | ( | InputArray | image,
|  | OutputArray | fgmask,
|  | double | learningRate = `-1`
| ) |  |
| pure virtual

Python:
| fgmask | = | cv.bgsegm_BackgroundSubtractorGSOC.apply( | image[, fgmask[, learningRate]] | )

Computes a foreground mask.

Parameters

  image | Next video frame.
  fgmask | The output foreground mask as an 8-bit binary image.
  learningRate | The 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()

virtual void cv::bgsegm::BackgroundSubtractorGSOC::getBackgroundImage | ( | OutputArray | backgroundImage | ) | const
| pure virtual

Python:
| backgroundImage | = | cv.bgsegm_BackgroundSubtractorGSOC.getBackgroundImage( | [, backgroundImage] | )

Computes a background image.

Parameters

  backgroundImage | The output background image.

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

Implements cv::BackgroundSubtractor.

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

- opencv2/bgsegm.hpp