推荐一个背景建模的开源库

  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