背景建模开源库:BGSLibrary

jopen 11年前

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,代码支持Windows和Linux.。 目前该库中包含的BGS算法有:</span></span>

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

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