Class cv::bgsegm::BackgroundSubtractorGSOC#

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

#include <opencv2/bgsegm.hpp>

Collaboration diagram for cv::bgsegm::BackgroundSubtractorGSOC:

Public Member Functions#

Public Member Functions inherited from cv::BackgroundSubtractor

Return	Name	Description
`void`	`apply(` `InputArray image,` `InputArray knownForegroundMask,` `OutputArray fgmask,` `double learningRate = -1 )`	Computes a foreground mask with known foreground mask input.
`void`	`apply(` `InputArray image,` `OutputArray fgmask,` `double learningRate = -1 )`	Computes a foreground mask.
`void`	`getBackgroundImage(OutputArray backgroundImage)`	Computes a background image.

Public Member Functions inherited from cv::Algorithm

Return	Name	Description
	`Algorithm()`
	`~Algorithm()`
`void`	`clear()`	Clears the algorithm state.
`bool`	`empty()`	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.
`String`	`getDefaultName()`
`void`	`read(const FileNode & fn)`	Reads algorithm parameters from a file storage.
`void`	`save(const String & filename)`
`void`	`write(` `const Ptr< FileStorage > & fs,` `const String & name = String() )`
`void`	`write(FileStorage & fs)`	Stores algorithm parameters in a file storage.
`void`	`write(` `FileStorage & fs,` `const String & name )`

Static Public Member Functions#

Static Public Member Functions inherited from cv::Algorithm

Return	Name	Description
`static Ptr< _Tp >`	`load(` `const String & filename,` `const String & objname = String() )`	Loads algorithm from the file.
`static Ptr< _Tp >`	`loadFromString(` `const String & strModel,` `const String & objname = String() )`	Loads algorithm from a String.
`static Ptr< _Tp >`	`read(const FileNode & fn)`	Reads algorithm from the file node.

Additional Inherited Members#

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()#

void cv::bgsegm::BackgroundSubtractorGSOC::apply(
InputArray image,
InputArray knownForegroundMask,
OutputArray fgmask,
double learningRate = -1 )

Computes a foreground mask with known foreground mask input.

Note

This method has a default virtual implementation that throws a “not impemented” error. Foreground masking may not be supported by all background subtractors.

Parameters

image — Next video frame. Floating point frame will be used without scaling and should be in range \([0,255]\).
fgmask — The output foreground mask as an 8-bit binary image.
knownForegroundMask — The mask for inputting already known foreground, allows model to ignore pixels.
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.

apply()#

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

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.

getBackgroundImage()#

void cv::bgsegm::BackgroundSubtractorGSOC::getBackgroundImage(OutputArray backgroundImage)

Computes a background image.

Note

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

Parameters

backgroundImage — The output background image.

Source file#

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

opencv2/bgsegm.hpp