Background Subtraction using Local SVD Binary Pattern. More details about the algorithm can be found at [80].
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#include "bgsegm.hpp"
Background Subtraction using Local SVD Binary Pattern. More details about the algorithm can be found at [80].
§ apply()
virtual void cv::bgsegm::BackgroundSubtractorLSBP::apply |
( |
InputArray |
image, |
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|
OutputArray |
fgmask, |
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|
double |
learningRate = -1 |
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) |
| |
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pure virtual |
Python: |
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| fgmask | = | cv.bgsegm_BackgroundSubtractorLSBP.apply( | image[, fgmask[, learningRate]] | ) |
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. |
Implements cv::BackgroundSubtractor.
§ getBackgroundImage()
virtual void cv::bgsegm::BackgroundSubtractorLSBP::getBackgroundImage |
( |
OutputArray |
backgroundImage | ) |
const |
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pure virtual |
Python: |
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| backgroundImage | = | cv.bgsegm_BackgroundSubtractorLSBP.getBackgroundImage( | [, backgroundImage] | ) |
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.
Implements cv::BackgroundSubtractor.
The documentation for this class was generated from the following file:
- /build/master-contrib_docs-lin64/opencv_contrib/modules/bgsegm/include/opencv2/bgsegm.hpp