Class cv::cuda::BackgroundSubtractorMOG2#

Gaussian Mixture-based Background/Foreground Segmentation Algorithm. View details

#include <opencv2/cudabgsegm.hpp>

Collaboration diagram for cv::cuda::BackgroundSubtractorMOG2:

Public Member Functions#

Public Member Functions inherited from cv::BackgroundSubtractorMOG2

Return	Name	Description
`void`	`apply(` `InputArray image,` `InputArray knownForegroundMask,` `OutputArray fgmask,` `double learningRate = -1 )`	Computes a foreground mask and skips known foreground in evaluation.
`void`	`apply(` `InputArray image,` `OutputArray fgmask,` `double learningRate = -1 )`	Computes a foreground mask.
`double`	`getBackgroundRatio()`	Returns the “background ratio” parameter of the algorithm.
`double`	`getComplexityReductionThreshold()`	Returns the complexity reduction threshold.
`bool`	`getDetectShadows()`	Returns the shadow detection flag.
`int`	`getHistory()`	Returns the number of last frames that affect the background model.
`int`	`getNMixtures()`	Returns the number of gaussian components in the background model.
`double`	`getShadowThreshold()`	Returns the shadow threshold.
`int`	`getShadowValue()`	Returns the shadow value.
`double`	`getVarInit()`	Returns the initial variance of each gaussian component.
`double`	`getVarMax()`
`double`	`getVarMin()`
`double`	`getVarThreshold()`	Returns the variance threshold for the pixel-model match.
`double`	`getVarThresholdGen()`	Returns the variance threshold for the pixel-model match used for new mixture component generation.
`void`	`setBackgroundRatio(double ratio)`	Sets the “background ratio” parameter of the algorithm.
`void`	`setComplexityReductionThreshold(double ct)`	Sets the complexity reduction threshold.
`void`	`setDetectShadows(bool detectShadows)`	Enables or disables shadow detection.
`void`	`setHistory(int history)`	Sets the number of last frames that affect the background model.
`void`	`setNMixtures(int nmixtures)`	Sets the number of gaussian components in the background model.
`void`	`setShadowThreshold(double threshold)`	Sets the shadow threshold.
`void`	`setShadowValue(int value)`	Sets the shadow value.
`void`	`setVarInit(double varInit)`	Sets the initial variance of each gaussian component.
`void`	`setVarMax(double varMax)`
`void`	`setVarMin(double varMin)`
`void`	`setVarThreshold(double varThreshold)`	Sets the variance threshold for the pixel-model match.
`void`	`setVarThresholdGen(double varThresholdGen)`	Sets the variance threshold for the pixel-model match used for new mixture component generation.

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#

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 Zivkovic2004 .

Member Function Documentation#

apply()#

void cv::cuda::BackgroundSubtractorMOG2::apply(
InputArray image,
InputArray knownForegroundMask,
OutputArray fgmask,
double learningRate,
Stream & stream )

apply()#

void cv::cuda::BackgroundSubtractorMOG2::apply(
InputArray image,
OutputArray fgmask,
double learningRate,
Stream & stream )

getBackgroundImage()#

void cv::cuda::BackgroundSubtractorMOG2::getBackgroundImage(
GpuMat & backgroundImage,
Stream & stream )

getBackgroundImage()#

void cv::cuda::BackgroundSubtractorMOG2::getBackgroundImage(
OutputArray backgroundImage,
Stream & stream )

Source file#

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

opencv2/cudabgsegm.hpp