cv::gpu::MOG_GPU Class Reference

#include <gpu.hpp>

Public Member Functions
	MOG_GPU (int nmixtures=-1)
	the default constructor More...
void	initialize (Size frameSize, int frameType)
	re-initiaization method More...
void	operator() (const GpuMat &frame, GpuMat &fgmask, float learningRate=0.0f, Stream &stream=Stream::Null())
	the update operator More...
void	getBackgroundImage (GpuMat &backgroundImage, Stream &stream=Stream::Null()) const
	computes a background image which are the mean of all background gaussians More...
void	release ()
	releases all inner buffers More...

Public Attributes
int	history
float	varThreshold
float	backgroundRatio
float	noiseSigma

Detailed Description

Gaussian Mixture-based Backbround/Foreground Segmentation Algorithm

The class implements the following algorithm: "An improved adaptive background mixture model for real-time tracking with shadow detection" P. KadewTraKuPong and R. Bowden, Proc. 2nd European Workshp on Advanced Video-Based Surveillance Systems, 2001." http://personal.ee.surrey.ac.uk/Personal/R.Bowden/publications/avbs01/avbs01.pdf

Constructor & Destructor Documentation

cv::gpu::MOG_GPU::MOG_GPU

(

int

nmixtures = -1

)

the default constructor

Member Function Documentation

void cv::gpu::MOG_GPU::getBackgroundImage	(	GpuMat &	backgroundImage,
		Stream &	stream = Stream::Null()
	)		const

computes a background image which are the mean of all background gaussians

void cv::gpu::MOG_GPU::initialize	(	Size	frameSize,
		int	frameType
	)

re-initiaization method

void cv::gpu::MOG_GPU::operator()	(	const GpuMat &	frame,
		GpuMat &	fgmask,
		float	learningRate = 0.0f,
		Stream &	stream = Stream::Null()
	)

the update operator

void cv::gpu::MOG_GPU::release

(

)

releases all inner buffers

Member Data Documentation

float cv::gpu::MOG_GPU::backgroundRatio

int cv::gpu::MOG_GPU::history

float cv::gpu::MOG_GPU::noiseSigma

float cv::gpu::MOG_GPU::varThreshold

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

• gpu/include/opencv2/gpu/gpu.hpp