|
| virtual void | apply (InputArray image, InputArray knownForegroundMask, OutputArray fgmask, double learningRate, Stream &stream)=0 |
| |
| virtual void | apply (InputArray image, OutputArray fgmask, double learningRate, Stream &stream)=0 |
| |
| void | getBackgroundImage (GpuMat &backgroundImage, Stream &stream) |
| |
| virtual void | getBackgroundImage (OutputArray backgroundImage, Stream &stream) const =0 |
| |
| virtual double | getBackgroundRatio () const =0 |
| |
| virtual int | getHistory () const =0 |
| |
| virtual int | getNMixtures () const =0 |
| |
| virtual double | getNoiseSigma () const =0 |
| |
| virtual void | setBackgroundRatio (double backgroundRatio)=0 |
| |
| virtual void | setHistory (int nframes)=0 |
| |
| virtual void | setNMixtures (int nmix)=0 |
| |
| virtual void | setNoiseSigma (double noiseSigma)=0 |
| |
| virtual void | apply (InputArray image, InputArray knownForegroundMask, OutputArray fgmask, double learningRate=-1)=0 |
| | Computes a foreground mask with known foreground mask input.
|
| |
| virtual void | apply (InputArray image, OutputArray fgmask, double learningRate=-1)=0 |
| | Computes a foreground mask.
|
| |
| virtual void | getBackgroundImage (OutputArray backgroundImage) const =0 |
| | Computes a background image.
|
| |
| | Algorithm () |
| |
| virtual | ~Algorithm () |
| |
| virtual void | clear () |
| | Clears the algorithm state.
|
| |
| virtual bool | empty () const |
| | Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.
|
| |
| virtual String | getDefaultName () const |
| |
| virtual void | read (const FileNode &fn) |
| | Reads algorithm parameters from a file storage.
|
| |
| virtual void | save (const String &filename) const |
| |
| void | write (const Ptr< FileStorage > &fs, const String &name=String()) const |
| |
| virtual void | write (FileStorage &fs) const |
| | Stores algorithm parameters in a file storage.
|
| |
| void | write (FileStorage &fs, const String &name) const |
| |
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 [142] .
- 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