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20152026
most citedRobust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery

356 citations · 871 across the 17 of their papers we have counts for

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cs.CV2015★ 267 cited

Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale Dataset

Thierry Bouwmans, Andrews Sobral, Sajid Javed +2

Recent research on problem formulations based on decomposition into low-rank plus sparse matrices shows a suitable framework to separate moving objects from the background. The mos…