Gaussian Mixture-based Background/Foreground Segmentation Algorithm.
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#include <opencv2/cudabgsegm.hpp>
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| virtual void | apply (InputArray image, InputArray knownForegroundMask, OutputArray fgmask, double learningRate, Stream &stream)=0 |
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| virtual void | apply (InputArray image, OutputArray fgmask, double learningRate, Stream &stream)=0 |
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| void | getBackgroundImage (GpuMat &backgroundImage, Stream &stream) |
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| virtual void | getBackgroundImage (OutputArray backgroundImage, Stream &stream) const =0 |
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| virtual double | getBackgroundRatio () const =0 |
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| virtual int | getHistory () const =0 |
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| virtual int | getNMixtures () const =0 |
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| virtual double | getNoiseSigma () const =0 |
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| virtual void | setBackgroundRatio (double backgroundRatio)=0 |
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| virtual void | setHistory (int nframes)=0 |
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| virtual void | setNMixtures (int nmix)=0 |
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| virtual void | setNoiseSigma (double noiseSigma)=0 |
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| virtual void | apply (InputArray image, InputArray knownForegroundMask, OutputArray fgmask, double learningRate=-1)=0 |
| | Computes a foreground mask with known foreground mask input.
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| virtual void | apply (InputArray image, OutputArray fgmask, double learningRate=-1)=0 |
| | Computes a foreground mask.
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| virtual void | getBackgroundImage (OutputArray backgroundImage) const =0 |
| | Computes a background image.
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| | Algorithm () |
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| virtual | ~Algorithm () |
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| virtual void | clear () |
| | Clears the algorithm state.
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| virtual bool | empty () const |
| | Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.
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| virtual String | getDefaultName () const |
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| virtual void | read (const FileNode &fn) |
| | Reads algorithm parameters from a file storage.
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| virtual void | save (const String &filename) const |
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| virtual void | write (FileStorage &fs) const |
| | Stores algorithm parameters in a file storage.
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| void | write (FileStorage &fs, const String &name) const |
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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 [141] .
- See also
- BackgroundSubtractorMOG
- Note
- An example on gaussian mixture based background/foreground segmantation can be found at opencv_source_code/samples/gpu/bgfg_segm.cpp
◆ apply() [1/2]
◆ apply() [2/2]
◆ getBackgroundImage() [1/2]
| void cv::cuda::BackgroundSubtractorMOG::getBackgroundImage |
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GpuMat & | backgroundImage, |
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Stream & | stream ) |
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inline |
◆ getBackgroundImage() [2/2]
| virtual void cv::cuda::BackgroundSubtractorMOG::getBackgroundImage |
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OutputArray | backgroundImage, |
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Stream & | stream ) const |
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pure virtual |
◆ getBackgroundRatio()
| virtual double cv::cuda::BackgroundSubtractorMOG::getBackgroundRatio |
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const |
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pure virtual |
◆ getHistory()
| virtual int cv::cuda::BackgroundSubtractorMOG::getHistory |
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const |
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pure virtual |
◆ getNMixtures()
| virtual int cv::cuda::BackgroundSubtractorMOG::getNMixtures |
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const |
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pure virtual |
◆ getNoiseSigma()
| virtual double cv::cuda::BackgroundSubtractorMOG::getNoiseSigma |
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const |
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pure virtual |
◆ setBackgroundRatio()
| virtual void cv::cuda::BackgroundSubtractorMOG::setBackgroundRatio |
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double | backgroundRatio | ) |
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pure virtual |
◆ setHistory()
| virtual void cv::cuda::BackgroundSubtractorMOG::setHistory |
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int | nframes | ) |
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pure virtual |
◆ setNMixtures()
| virtual void cv::cuda::BackgroundSubtractorMOG::setNMixtures |
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int | nmix | ) |
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pure virtual |
◆ setNoiseSigma()
| virtual void cv::cuda::BackgroundSubtractorMOG::setNoiseSigma |
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double | noiseSigma | ) |
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pure virtual |
The documentation for this class was generated from the following file: