Background subtraction based on counting.
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override void | apply (Mat image, Mat fgmask) |
| Computes a foreground mask.
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override void | apply (Mat image, Mat fgmask, double learningRate) |
| Computes a foreground mask.
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override void | getBackgroundImage (Mat backgroundImage) |
| Computes a background image.
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bool | getIsParallel () |
| Returns if we're parallelizing the algorithm.
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int | getMaxPixelStability () |
| Returns maximum allowed credit for a pixel in history.
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int | getMinPixelStability () |
| Returns number of frames with same pixel color to consider stable.
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bool | getUseHistory () |
| Returns if we're giving a pixel credit for being stable for a long time.
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void | setIsParallel (bool value) |
| Sets if we're parallelizing the algorithm.
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void | setMaxPixelStability (int value) |
| Sets the maximum allowed credit for a pixel in history.
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void | setMinPixelStability (int value) |
| Sets the number of frames with same pixel color to consider stable.
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void | setUseHistory (bool value) |
| Sets if we're giving a pixel credit for being stable for a long time.
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virtual void | clear () |
| Clears the algorithm state.
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virtual bool | empty () |
| Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.
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virtual string | getDefaultName () |
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IntPtr | getNativeObjAddr () |
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void | save (string filename) |
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void | Dispose () |
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void | ThrowIfDisposed () |
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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 ( https://github.com/sagi-z/BackgroundSubtractorCNT )
◆ __fromPtr__()
◆ apply() [1/2]
override void OpenCVForUnity.BgsegmModule.BackgroundSubtractorCNT.apply |
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Mat | image, |
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Mat | fgmask ) |
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Computes a foreground mask.
- Parameters
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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. |
Reimplemented from OpenCVForUnity.VideoModule.BackgroundSubtractor.
◆ apply() [2/2]
override void OpenCVForUnity.BgsegmModule.BackgroundSubtractorCNT.apply |
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Mat | image, |
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Mat | fgmask, |
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double | learningRate ) |
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virtual |
Computes a foreground mask.
- Parameters
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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. |
Reimplemented from OpenCVForUnity.VideoModule.BackgroundSubtractor.
◆ Dispose()
override void OpenCVForUnity.BgsegmModule.BackgroundSubtractorCNT.Dispose |
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bool | disposing | ) |
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protectedvirtual |
◆ getBackgroundImage()
override void OpenCVForUnity.BgsegmModule.BackgroundSubtractorCNT.getBackgroundImage |
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Mat | backgroundImage | ) |
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Computes a background image.
- Parameters
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backgroundImage | The output background image. |
- Note
- Sometimes the background image can be very blurry, as it contain the average background statistics.
Reimplemented from OpenCVForUnity.VideoModule.BackgroundSubtractor.
◆ getIsParallel()
bool OpenCVForUnity.BgsegmModule.BackgroundSubtractorCNT.getIsParallel |
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Returns if we're parallelizing the algorithm.
◆ getMaxPixelStability()
int OpenCVForUnity.BgsegmModule.BackgroundSubtractorCNT.getMaxPixelStability |
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Returns maximum allowed credit for a pixel in history.
◆ getMinPixelStability()
int OpenCVForUnity.BgsegmModule.BackgroundSubtractorCNT.getMinPixelStability |
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Returns number of frames with same pixel color to consider stable.
◆ getUseHistory()
bool OpenCVForUnity.BgsegmModule.BackgroundSubtractorCNT.getUseHistory |
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Returns if we're giving a pixel credit for being stable for a long time.
◆ setIsParallel()
void OpenCVForUnity.BgsegmModule.BackgroundSubtractorCNT.setIsParallel |
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bool | value | ) |
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Sets if we're parallelizing the algorithm.
◆ setMaxPixelStability()
void OpenCVForUnity.BgsegmModule.BackgroundSubtractorCNT.setMaxPixelStability |
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int | value | ) |
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Sets the maximum allowed credit for a pixel in history.
◆ setMinPixelStability()
void OpenCVForUnity.BgsegmModule.BackgroundSubtractorCNT.setMinPixelStability |
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int | value | ) |
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Sets the number of frames with same pixel color to consider stable.
◆ setUseHistory()
void OpenCVForUnity.BgsegmModule.BackgroundSubtractorCNT.setUseHistory |
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bool | value | ) |
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Sets if we're giving a pixel credit for being stable for a long time.
The documentation for this class was generated from the following file: