Which algorithms really matter?
Andrews Sobral edited this page Mar 12, 2017
·
4 revisions
Pages 23
- Home
- Algorithms benchmark
- Build status
- Compiling BGSLibrary with OpenCV 2.4.x and Visual Studio 2013 from CMAKE
- Compiling BGSLibrary with OpenCV 3.x and Visual Studio 2015 from CMAKE
- Compiling BGSLibrary with Visual Studio 2010 and Opencv 2.4.x
- Docker images
- Graphical User Interface: Java
- Graphical User Interface: MFC
- Graphical User Interface: QT
- How to contribute
- How to integrate BGSLibrary in your own CPP code
- Installation instructions
- Installation instructions Windows
- Installation instructions Ubuntu or OSX
- Library architecture
- List of available algorithms
- List of collaborators
- Release notes
- Which algorithms really matter?
- Wrapper: Java
- Wrapper: MATLAB
- Wrapper: Python
- Show 8 more pages…
Clone this wiki locally
Frequently, the main question is: what is the best algorithm to choose? Unfortunately there is no an exact response. The performance of each algorithm may vary due to the application and scene/environment. However, the following resources are available to help you in this big challenge:
- A comprehensive review of background subtraction algorithms evaluated with synthetic and real videos (by Andrews Sobral and Antoine Vacavant)
- Background Subtraction - A Survey and Background Subtraction Website (by Thierry Bouwmans)
- Comparing background subtraction algorithms (by Stefano Tommesani)
- Results for CD.net 2014
- See also: Books, Journals, Workshops, Resources, Datasets, Codes, ...