LRSLibrary : 64 Algorithms for Low-Rank and Sparse for Background Modeling and Subtraction in Videos

Andrews Sobral just sent me the following:

Hi Igor,


First, I would like to you for your excellent blog =)

My name is Andrews, I'm Ph.D student at Université de La Rochelle.
I'd like to present you my new library called LRSLibrary. The LRSLibrary provides a collection of low-rank and sparse decomposition algorithms in MATLAB for background modeling and subtraction in videos. Currently the LRSLibrary contains a total of 64 matrix-based and tensor-based algorithms. The link for the library is:
https://github.com/andrewssobral/lrslibrary

Please, let me know if you have any questions about it.


Best regards,


Andrews Sobral

https://sites.google.com/site/andrewssobral/

 Thank you Andrews !

This is just outstanding and will be shortly listed in the Advanced matrix Factorization Jungle page. I note that Go Decomposition (GoDec), the solver Cable And I used in our Adventures in Matrix Factorization is the fastest of them all.

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