推荐一个背景建模的开源库
来源:互联网 发布:淘宝六个差评 编辑:程序博客网 时间:2024/06/06 02:40
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 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 link3Fuzzy 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 linkStatistical methods using one gaussian:1 (DPWrenGABGS) Gaussian Average of Wren (1997) paper link3 (LBSimpleGaussian) Simple Gaussian of Benezeth et al (2008) paper linkStatistical 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 linkType-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 link2Statistical methods using color and texture features:4 (MultiLayerBGS) Multi-Layer BGS of Jian Yao and Jean-Marc Odobez (2007) paper linkNon-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 linkMethods based on eigenvalues and eigenvectors:1 (DPEigenbackgroundBGS) Eigenbackground / SL-PCA of Oliver et al (2000) paper linkNeural 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