毕业设计&课设-一个C++背景减法库，带有用于QT上的Python、MATLAB、Java和GUI的包装器.zip

## BGSLibrary A Background Subtraction Library [](https://github.com/andrewssobral/bgslibrary/wiki/Build-status) [](http://www.gnu.org/licenses/gpl-3.0) [](https://github.com/andrewssobral/bgslibrary/wiki/Build-status) [](https://github.com/andrewssobral/bgslibrary/wiki/Build-status) [](https://github.com/andrewssobral/bgslibrary/wiki/Build-status) [](https://github.com/andrewssobral/bgslibrary/wiki/List-of-available-algorithms) <p align="center"> <a href="https://youtu.be/_UbERwuQ0OU" target="_blank"> <img src="https://raw.githubusercontent.com/andrewssobral/bgslibrary/master/docs/images/bgs_giphy2.gif" border="0" /> </a> </p> Last page update: **04/03/2023** Library Version: **3.3.0** (see **[Build Status](https://github.com/andrewssobral/bgslibrary/wiki/Build-status)** and **[Release Notes](https://github.com/andrewssobral/bgslibrary/wiki/Release-notes)** for more info) The **BGSLibrary** was developed in early 2012 by [Andrews Sobral](http://andrewssobral.wixsite.com/home) as a C++ framework (with wrappers available for Python, Java and MATLAB) for foreground-background separation in videos using [OpenCV](http://www.opencv.org/). The bgslibrary is compatible with OpenCV versions 2.4.x, 3.x and 4.x, and can be compiled on Windows, Linux, and Mac OS X. It currently contains **43** algorithms and is available free of charge to all users, both academic and commercial. The library's source code is available under the [MIT license](https://opensource.org/licenses/MIT). * [List of available algorithms](https://github.com/andrewssobral/bgslibrary/wiki/List-of-available-algorithms) * [Algorithms benchmark](https://github.com/andrewssobral/bgslibrary/wiki/Algorithms-benchmark) * [Which algorithms really matter?](https://github.com/andrewssobral/bgslibrary/wiki/Which-algorithms-really-matter%3F) * [Library architecture](https://github.com/andrewssobral/bgslibrary/wiki/Library-architecture) * Installation instructions You can either install BGSLibrary via [pre-built binary package](https://github.com/andrewssobral/bgslibrary/releases) or build it from source * * [Windows installation](https://github.com/andrewssobral/bgslibrary/wiki/Installation-instructions---Windows) * * [Ubuntu / OS X installation](https://github.com/andrewssobral/bgslibrary/wiki/Installation-instructions-Ubuntu-or-OSX) Supported Compilers are: GCC 4.8 and above Clang 3.4 and above MSVC 2015, 2017, 2019 or newer Other compilers might work, but are not officially supported. The bgslibrary requires some features from the ISO C++ 2014 standard. * Graphical User Interface * * [C++ QT](https://github.com/andrewssobral/bgslibrary/wiki/Graphical-User-Interface:-QT) ***(Official)*** * * [C++ MFC](https://github.com/andrewssobral/bgslibrary/wiki/Graphical-User-Interface:-MFC) ***(Deprecated)*** * * [Java](https://github.com/andrewssobral/bgslibrary/wiki/Graphical-User-Interface:-Java) ***(Obsolete)*** * Wrappers * * [Python](https://github.com/andrewssobral/bgslibrary/wiki/Wrapper:-Python) * * [MATLAB](https://github.com/andrewssobral/bgslibrary/wiki/Wrapper:-MATLAB) * * [Java](https://github.com/andrewssobral/bgslibrary/wiki/Wrapper:-Java) * Examples * * https://github.com/andrewssobral/bgslibrary/tree/master/examples * * https://github.com/andrewssobral/bgslibrary-examples * [Docker images](https://github.com/andrewssobral/bgslibrary/wiki/Docker-images) * [How to integrate BGSLibrary in your own CPP code](https://github.com/andrewssobral/bgslibrary/wiki/How-to-integrate-BGSLibrary-in-your-own-CPP-code) * [How to contribute](https://github.com/andrewssobral/bgslibrary/wiki/How-to-contribute) * [List of collaborators](https://github.com/andrewssobral/bgslibrary/wiki/List-of-collaborators) * [Release notes](https://github.com/andrewssobral/bgslibrary/wiki/Release-notes) ## Algorithm compatibility across OpenCV versions --------------------------------------------------- | Algorithm | OpenCV < 3.0 (42) | 3.0 <= OpenCV <= 3.4.7 (41) | 3.4.7 < OpenCV < 4.0 (39) | OpenCV >= 4.0 (26) | |--------------------------------|:-----------:|:----------------------:|:---------------------:|:------------:| | AdaptiveBackgroundLearning | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | AdaptiveSelectiveBackgroundLearning | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | CodeBook | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | DPAdaptiveMedian | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :x: | | DPEigenbackground | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :x: | | DPGrimsonGMM | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :x: | | DPMean | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :x: | | DPPratiMediod | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :x: | | DPTexture | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :x: | | DPWrenGA | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :x: | | DPZivkovicAGMM | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :x: | | FrameDifference | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | FuzzyChoquetIntegral | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | FuzzySugenoIntegral | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | GMG | :heavy_check_mark: | :x: | :x: | :x: | | IndependentMultimodal | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | KDE | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | KNN | :x: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | LBAdaptiveSOM | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | LBFuzzyAdaptiveSOM | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | LBFuzzyGaussian | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | LBMixtureOfGaussians | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | LBP_MRF | :heavy_check_mark: | :heavy_check_mark: | :x: | :x: | | LBSimpleGaussian | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | LOBSTER | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | MixtureOfGaussianV1 | :heavy_check_mark: | :x: | :x: | :x: | | MixtureOfGaussianV2 | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | MultiCue | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :x: | | MultiLayer | :heavy_check_mark: | :heavy_check_mark: | :x: | :x: | | PAWCS | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | PixelBasedAdaptiveSegmenter | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | SigmaDelta | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | StaticFrameDifference | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | SuBSENSE | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | T2FGMM_UM | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :x: | | T2FGMM_UV | :heavy_check_mark: | :heavy_check_mark: | :heavy_chec