如題，該庫名爲BGSLibrary，是採用C++編寫的用於 background subtraction (BGS）背景減去相關算法的開源庫，包含了29種目前常用的背景減去算法。目前發佈在google code上面，其鏈接爲：https://code.google.com/p/bgslibrary/，遵守GNU GPL v3協議，需要的朋友可以自行下載。目前該庫中包含的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 Learning1 (DPMeanBGS) Temporal Mean1 (DPAdaptiveMedianBGS) Adaptive Median of McFarlane and Schofield (1995) paper link1 (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 link2 (FuzzyChoquetIntegral) Fuzzy Choquet Integral (with Adaptive-Selective Update) of Baf et al (2008) paper link3 (LBFuzzyGaussian) Fuzzy Gaussian of Sigari et al (2008) paper link Statistical methods using one gaussian:1 (DPWrenGABGS) Gaussian Average of Wren (1997) paper link3 (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 link0 (MixtureOfGaussianV1BGS) Gaussian Mixture Model of KadewTraKuPong and Bowden (2001)paper link0 (MixtureOfGaussianV2BGS) Gaussian Mixture Model of Zivkovic (2004) paper link1 paper link21 (DPZivkovicAGMMBGS) Gaussian Mixture Model of Zivkovic (2004) paper link1 paper link23 (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 link2 (T2FGMM_UV) Type-2 Fuzzy GMM-UV of Baf et al (2008) paper link2 (T2FMRF_UM) Type-2 Fuzzy GMM-UM with MRF of Zhao et al (2012) paper link1 paper link22 (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 link0 (GMG) GMG of Godbehere et al (2012) paper link6 (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 link3 (LBFuzzyAdaptiveSOM) Fuzzy Adaptive SOM of Maddalena and Petrosino (2010) paper link