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推荐一个背景建模的开源库

2013-05-17 21:27 本站整理 浏览(5)
转自:/content/1963104.html
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