List of available algorithms

43 algorithms are available in BGSLibrary

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)
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	✔️	✔️	✔️	✔️

Algorithm authors and references

Type	Algorithm name (click to see the source code)	Author(s)	Contributor(s)
Basic:
	Static Frame Difference	-	-
	Frame Difference	-	-
	Weighted Moving Mean	-	-
	Weighted Moving Variance	-	-
	Adaptive Background Learning	-	-
	Adaptive-Selective Background Learning	-	-
	Temporal Mean	-	1
	Adaptive Median	McFarlane and Schofield (1995)	1
	Temporal Median	Cucchiara et al. (2003) and Calderara et al. (2006)	1
	Sigma-Delta	Manzanera and Richefeu (2004)	11
Fuzzy:
	Fuzzy Sugeno Integral	Hongxun Zhang and De Xu (2006)	2
	Fuzzy Choquet Integral	Baf et al. (2008)	2
	Fuzzy Gaussian	Wren (1997) with Sigari et al. (2008) approach	3
Single gaussian:
	Gaussian Average	Wren (1997)	1
	Simple Gaussian	Benezeth et al. (2008)	3
Multiple gaussians:
	Gaussian Mixture Model (GMM or MoG)	Stauffer and Grimson (1999)	1
	Gaussian Mixture Model (GMM or MoG)	KadewTraKuPong and Bowden (2001)	0
	Gaussian Mixture Model (GMM or MoG)	Zivkovic (2004)	0
	Gaussian Mixture Model (GMM or MoG)	Zivkovic (2004)	1
	Gaussian Mixture Model (GMM or MoG)	Laurence Bender implementation (GMM with Mahalanobis distance) (related paper)	3
Type-2 Fuzzy:
	Type-2 Fuzzy GMM-UM	Baf et al. (2008)	2
	Type-2 Fuzzy GMM-UV	Baf et al. (2008)	2
	Type-2 Fuzzy GMM-UM with MRF	Zhao et al. (2012)	2
	Type-2 Fuzzy GMM-UV with MRF	Zhao et al. (2012)	2
Multiple features:
	Texture BGS	Heikkila et al. (2006)	1
	Texture-Based Foreground Detection with MRF	Csaba Kertész (2011)	8
	Multi-Layer BGS	Jian Yao and Jean-Marc Odobez (2007)	4
	MultiCue BGS	SeungJong Noh and Moongu Jeon (2012)	10
	SuBSENSE	Pierre-Luc et al. (2014)	12
	LOBSTER	Pierre-Luc and Guillaume-Alexandre (2014)	12
Non-parametric:
	GMG	Godbehere et al. (2012)	0
	VuMeter	Goyat et al. (2006)	6
	KDE	Elgammal et al. (2000)	7
	IMBS	Domenico Bloisi and Luca Iocchi (2012)	9
(only in opencv3 branch)	KNN Background Subtractor	Zoran Zivkovic and Ferdinand van der Heijden	0
Subspace:
	Eigenbackground / SL-PCA	Oliver et al. (2000)	1
Neural and neuro-fuzzy:
	Adaptive SOM	Maddalena and Petrosino (2008)	3
	Fuzzy Adaptive SOM	Maddalena and Petrosino (2010)	3

_Legend:

• _{(0) native from OpenCV.}
• _{(1) thanks to Donovan Parks.}
• _{(2) thanks to Thierry Bouwmans, Fida EL BAF and Zhenjie Zhao.}
• _{(3) thanks to Laurence Bender.}
• _{(4) thanks to Jian Yao and Jean-Marc Odobez.}
• _{(5) thanks to Martin Hofmann, Philipp Tiefenbacher and Gerhard Rigoll.}
• _{(6) thanks to Lionel Robinault and Antoine Vacavant.}
• _{(7) thanks to Ahmed Elgammal.}
• _{(8) thanks to Csaba Kertész.}
• _{(9) thanks to Domenico Daniele Bloisi.}
• _{(10) thanks to SeungJong Noh.}
• _{(11) thanks to Benjamin Laugraud.}
• _{(12) thanks to Pierre-Luc St-Charles.}