Class cv::bgsegm::BackgroundSubtractorCNT#

Background subtraction based on counting. View details

#include <opencv2/bgsegm.hpp>

Collaboration diagram for cv::bgsegm::BackgroundSubtractorCNT:

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 subtraction based on counting.

About as fast as MOG2 on a high end system. More than twice faster than MOG2 on cheap hardware (benchmarked on Raspberry Pi3).

Algorithm by Sagi Zeevi ( sagi-z/BackgroundSubtractorCNT )

Member Function Documentation#

apply()#

void cv::bgsegm::BackgroundSubtractorCNT::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.
knownForegroundMask — The mask for inputting already known foreground.
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.

apply()#

void cv::bgsegm::BackgroundSubtractorCNT::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::BackgroundSubtractorCNT::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.

getIsParallel()#

bool cv::bgsegm::BackgroundSubtractorCNT::getIsParallel()

Returns if we’re parallelizing the algorithm.

getMaxPixelStability()#

int cv::bgsegm::BackgroundSubtractorCNT::getMaxPixelStability()

Returns maximum allowed credit for a pixel in history.

getMinPixelStability()#

int cv::bgsegm::BackgroundSubtractorCNT::getMinPixelStability()

Returns number of frames with same pixel color to consider stable.

getUseHistory()#

bool cv::bgsegm::BackgroundSubtractorCNT::getUseHistory()

Returns if we’re giving a pixel credit for being stable for a long time.

setIsParallel()#

void cv::bgsegm::BackgroundSubtractorCNT::setIsParallel(bool value)

Sets if we’re parallelizing the algorithm.

setMaxPixelStability()#

void cv::bgsegm::BackgroundSubtractorCNT::setMaxPixelStability(int value)

Sets the maximum allowed credit for a pixel in history.

setMinPixelStability()#

void cv::bgsegm::BackgroundSubtractorCNT::setMinPixelStability(int value)

Sets the number of frames with same pixel color to consider stable.

setUseHistory()#

void cv::bgsegm::BackgroundSubtractorCNT::setUseHistory(bool value)

Sets if we’re giving a pixel credit for being stable for a long time.

Source file#

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

opencv2/bgsegm.hpp