From: http://blog.csdn.net/carson2005/article/details/8861685
For example, the library named bgslibrary is an open-source library written in C ++ for the background of background subtraction (BGS) minus related algorithms. It contains 29 common background subtraction algorithms. Currently released on Google
Above the code, the link is: https://code.google.com/p/bgslibrary/, which complies with the gnu gpl V3 protocol and can be downloaded by friends. Currently, this library includes the following BGS algorithms:
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 medianOf McFarlane and scholar Field
(1995)
Paper Link
1 (dppratimediodbgs)
Temporal MedianOf 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 GaussianOf sigari et al (2008)
Paper
Link
Statistical methods using one Gaussian:
1 (dpwrengabgs)
Gaussian averageOf Wren (1997)
Paper
Link
3 (lbsimplegaussian)
Simple gaussianOf benezeth et al (2008)
Paper
Link
Statistical methods using multiple gaussians:
1 (dpgrimsongmmbgs)
Gaussian Mixture ModelOf stauffer and Grimson
(1999)
Paper Link
0 (mixtureofgaussianv1bgs)
Gaussian Mixture ModelOf kadewtrakupong
And bowden (2001)
Paper Link
0 (mixtureofgaussianv2bgs)
Gaussian Mixture ModelOf Zivkovic
(2004)
Paper link1 paper
Link2
1 (dpzivkovicagmmbgs)
Gaussian Mixture ModelOf ZIVKOVIC (2004)
Paper
Link1 paper link2
3 (lbmixtureofgaussians)
Gaussian Mixture ModelOf BAF et al
(2008)
Paper Link
Type-2 fuzzy based methods:
2 (t2fgmm_um)
Type-2 fuzzy GMM-UMOf BAF et al (2008)
Paper
Link
2 (t2fgmm_uv)
Type-2 fuzzy GMM-UVOf BAF et al (2008)
Paper
Link
2 (t2fmrf_um)
Type-2 fuzzy GMM-UM with MRFOf Zhao et al (2012)
Paper
Link1 paper link2
2 (t2fmrf_uv)
Type-2 fuzzy GMM-UV with MRFOf Zhao et al (2012)
Paper
Link1 paper link2
Statistical methods using color and texture features:
4 (multilayerbgs)
Multi-layer BGSOf 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)
GMGOf godbehere et al (2012)
Paper
Link
6 (vumeter)
VumeterOf goyat et al (2006)
Paper
Link
Methods Based on eigenvalues and eigenvectors:
1 (dpeigenbackgroundbgs)
Eigenbackground/SL-PCAOf Oliver et
Al (0, 2000)
Paper Link
Neural and neuro-fuzzy methods:
3 (lbadaptivesom)
Adaptive SOMOf Maddalena and petrosino (2008)
Paper
Link
3 (lbfuzzyadaptivesom)
Fuzzy Adaptive SOMOf Maddalena and petrosino
(2010)
Paper Link
