BGS Library: A Library Framework for Algorithm’s Evaluation in Foreground/Background Segmentation

The BGSLibrary has been designed to provides an easy-to-use C++ framework and tools to perform background subtraction. First released in March 2012, currently the library offers 32 background subtraction algorithms. The source code is available under GNU GPL v3 license and the library is free for no...

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Bibliographic Details
Published inHandbook on "Background Modeling and Foreground Detection for Video Surveillance", Chapter 23
Main Authors Sobral, Andrews, Bouwmans, Thierry
Format Book Chapter
LanguageEnglish
Published 25.07.2014
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ISBN1482205378
9781482205374
DOI10.1201/b17223

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Summary:The BGSLibrary has been designed to provides an easy-to-use C++ framework and tools to perform background subtraction. First released in March 2012, currently the library offers 32 background subtraction algorithms. The source code is available under GNU GPL v3 license and the library is free for non-commercial use, open source and platform independent. Note that the license of the algorithms included in BGSLibrary not necessarily have the same license of the library. Some authors do not allow that their algorithms will be used for a commercial purpose, first is needed to contact them to ask permission. However, by default, we decided to adopt the GPL-v3 license.The BGSLibrary also provides one Java based GUI (Graphical User Interface) allowing the users to configure the input video-source, region of interest, and the parameters of each BS algorithm. A MFC-based GUI is also provided for a quick access in Windows computers. But, a QT-based GUI is coming for a platform independent usage. To build/run the BGSLibrary, it is necessary to have the OpenCV library installed previously. Everyone is invited to collaborate with the BGSLibrary. In this chapter some efforts has been made for how to make and add your contributions in the library. Feel free to contact us to suggest and share your ideas. We are open to innovations!
ISBN:1482205378
9781482205374
DOI:10.1201/b17223