文章转载自http://blog.csdn.net/carson2005/article/details/8861685
如题，该库名为BGSLibrary，是采用C++编写的用于 background subtraction (BGS）背景减去相关算法的开源库，包含了29种目前常用的背景减去算法。目前发布在google code上面，其链接为：https://code.google.com/p/bgslibrary/，遵守GNU GPL v3协议，需要的朋友可以自行下载。目前该库中包含的BGS算法有：
Basic methods, mean and variance over time:
(StaticFrameDifferenceBGS)
Static Frame Difference
(FrameDifferenceBGS)
Frame Difference
(WeightedMovingMeanBGS)
Weighted Moving Mean
(WeightedMovingVarianceBGS)
Weighted Moving Variance
(AdaptiveBackgroundLearning)
Adaptive Background Learning
1
(DPMeanBGS)
Temporal Mean
1
(DPAdaptiveMedianBGS)
Adaptive Median of McFarlane and Schofield (1995)
paper link
1
(DPPratiMediodBGS)
Temporal Median of Cucchiara et al (2003) and Calderara et al (2006)
paper link1 paper link2 paper link3
Fuzzy based methods:
2
(FuzzySugenoIntegral)
Fuzzy Sugeno Integral (with Adaptive-Selective Update) of Hongxun Zhang and De Xu (2006)
paper link
2
(FuzzyChoquetIntegral)
Fuzzy Choquet Integral (with Adaptive-Selective Update) of Baf et al (2008)
paper link
3
(LBFuzzyGaussian)
Fuzzy Gaussian of Sigari et al (2008)
paper link
Statistical methods using one gaussian:
1
(DPWrenGABGS)
Gaussian Average of Wren (1997)
paper link
3
(LBSimpleGaussian)
Simple Gaussian of Benezeth et al (2008)
paper link
Statistical methods using multiple gaussians:
1
(DPGrimsonGMMBGS)
Gaussian Mixture Model of Stauffer and Grimson (1999)
paper link
0
(MixtureOfGaussianV1BGS)
Gaussian Mixture Model of KadewTraKuPong and Bowden (2001)
paper link
0
(MixtureOfGaussianV2BGS)
Gaussian Mixture Model of Zivkovic (2004)
paper link1 paper link2
1
(DPZivkovicAGMMBGS)
Gaussian Mixture Model of Zivkovic (2004)
paper link1 paper link2
3
(LBMixtureOfGaussians)
Gaussian Mixture Model of Baf et al (2008)
paper link
Type-2 Fuzzy based methods:
2
(T2FGMM_UM)
Type-2 Fuzzy GMM-UM of Baf et al (2008)
paper link
2
(T2FGMM_UV)
Type-2 Fuzzy GMM-UV of Baf et al (2008)
paper link
2
(T2FMRF_UM)
Type-2 Fuzzy GMM-UM with MRF of Zhao et al (2012)
paper link1 paper link2
2
(T2FMRF_UV)
Type-2 Fuzzy GMM-UV with MRF of Zhao et al (2012)
paper link1 paper link2
Statistical methods using color and texture features:
4
(MultiLayerBGS)
Multi-Layer BGS of Jian Yao and Jean-Marc Odobez (2007)
paper link
Non-parametric methods:
5
(PixelBasedAdaptiveSegmenter)
Pixel-Based Adaptive Segmenter (PBAS) of Hofmann et al (2012)
paper link
0
(GMG)
GMG of Godbehere et al (2012)
paper link
6
(VuMeter)
VuMeter of Goyat et al (2006)
paper link
Methods based on eigenvalues and eigenvectors:
1
(DPEigenbackgroundBGS)
Eigenbackground / SL-PCA of Oliver et al (2000)
paper link
Neural and neuro-fuzzy methods:
3
(LBAdaptiveSOM)
Adaptive SOM of Maddalena and Petrosino (2008)
paper link
3
(LBFuzzyAdaptiveSOM)
Fuzzy Adaptive SOM of Maddalena and Petrosino (2010)
paper link
