Class cv::cuda::BackgroundSubtractorGMG#

Background/Foreground Segmentation Algorithm. View details

#include <opencv2/cudalegacy.hpp>

Collaboration diagram for cv::cuda::BackgroundSubtractorGMG:

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#

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 Gold2012 .

Member Function Documentation#

apply()#

void cv::cuda::BackgroundSubtractorGMG::apply(
InputArray image,
InputArray knownForegroundMask,
OutputArray fgmask,
double learningRate,
Stream & stream )

apply()#

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

getBackgroundPrior()#

double cv::cuda::BackgroundSubtractorGMG::getBackgroundPrior()

getDecisionThreshold()#

double cv::cuda::BackgroundSubtractorGMG::getDecisionThreshold()

getDefaultLearningRate()#

double cv::cuda::BackgroundSubtractorGMG::getDefaultLearningRate()

getMaxFeatures()#

int cv::cuda::BackgroundSubtractorGMG::getMaxFeatures()

getMaxVal()#

double cv::cuda::BackgroundSubtractorGMG::getMaxVal()

getMinVal()#

double cv::cuda::BackgroundSubtractorGMG::getMinVal()

getNumFrames()#

int cv::cuda::BackgroundSubtractorGMG::getNumFrames()

getQuantizationLevels()#

int cv::cuda::BackgroundSubtractorGMG::getQuantizationLevels()

getSmoothingRadius()#

int cv::cuda::BackgroundSubtractorGMG::getSmoothingRadius()

getUpdateBackgroundModel()#

bool cv::cuda::BackgroundSubtractorGMG::getUpdateBackgroundModel()

setBackgroundPrior()#

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

setDecisionThreshold()#

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

setDefaultLearningRate()#

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

setMaxFeatures()#

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

setMaxVal()#

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

setMinVal()#

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

setNumFrames()#

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

setQuantizationLevels()#

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

setSmoothingRadius()#

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

setUpdateBackgroundModel()#

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

Source file#

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

opencv2/cudalegacy.hpp