This is the Linux app named LRSLibrary whose latest release can be downloaded as lrslibrarysourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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LRSLibrary
DESCRIPTION
LRSLibrary is a MATLAB library offering a broad collection of low-rank plus sparse decomposition algorithms, primarily aimed at background/foreground modeling from videos (background subtraction) and related computer vision tasks. The library includes matrix and tensor methods (over 100 algorithms) and has been tested across MATLAB versions from R2014 onward. The algorithms can also be adapted to other computer vision or machine learning problems beyond video.
Features
- Large algorithm collection: > 100 matrix- and tensor-based low-rank + sparse methods
- Support for background modeling / foreground detection in videos
- Demonstration scripts / example usage
- Compatibility across MATLAB versions (tested in R2014–R2017)
- Both matrix- and tensor-based decompositions
- Open-source license, documentation and references included
Programming Language
MATLAB
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/lrslibrary.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
