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Andrews Sobral authoredAndrews Sobral authored
BGSLibrary
A Background Subtraction Library
Last page update: 04/03/2023
Library Version: 3.3.0 (see Build Status and Release Notes for more info)
The BGSLibrary was developed in early 2012 by Andrews Sobral as a C++ framework (with wrappers available for Python, Java and MATLAB) for foreground-background separation in videos using OpenCV. The bgslibrary is compatible with OpenCV versions 2.4.x, 3.x and 4.x, and can be compiled on Windows, Linux, and Mac OS X. It currently contains 43 algorithms and is available free of charge to all users, both academic and commercial. The library's source code is available under the MIT license.
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Installation instructions
You can either install BGSLibrary via pre-built binary package or build it from source
Supported Compilers are:
GCC 4.8 and above
Clang 3.4 and above
MSVC 2015, 2017, 2019 or newer
Other compilers might work, but are not officially supported. The bgslibrary requires some features from the ISO C++ 2014 standard.
Algorithm compatibility across OpenCV versions
Algorithm | OpenCV < 3.0 (42) | 3.0 <= OpenCV <= 3.4.7 (41) | 3.4.7 < OpenCV < 4.0 (39) | OpenCV >= 4.0 (26) |
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AdaptiveBackgroundLearning | ||||
AdaptiveSelectiveBackgroundLearning | ||||
CodeBook | ||||
DPAdaptiveMedian | ||||
DPEigenbackground | ||||
DPGrimsonGMM | ||||
DPMean | ||||
DPPratiMediod | ||||
DPTexture | ||||
DPWrenGA | ||||
DPZivkovicAGMM | ||||
FrameDifference | ||||
FuzzyChoquetIntegral | ||||
FuzzySugenoIntegral | ||||
GMG | ||||
IndependentMultimodal | ||||
KDE | ||||
KNN | ||||
LBAdaptiveSOM | ||||
LBFuzzyAdaptiveSOM | ||||
LBFuzzyGaussian | ||||
LBMixtureOfGaussians | ||||
LBP_MRF | ||||
LBSimpleGaussian | ||||
LOBSTER | ||||
MixtureOfGaussianV1 | ||||
MixtureOfGaussianV2 | ||||
MultiCue | ||||
MultiLayer | ||||
PAWCS | ||||
PixelBasedAdaptiveSegmenter | ||||
SigmaDelta | ||||
StaticFrameDifference | ||||
SuBSENSE | ||||
T2FGMM_UM | ||||
T2FGMM_UV | ||||
T2FMRF_UM | ||||
T2FMRF_UV | ||||
TwoPoints | ||||
ViBe | ||||
VuMeter | ||||
WeightedMovingMean | ||||
WeightedMovingVariance |