This part gives links to web sites on recent background models.
Note: Feel free to contact me at background.subtraction@gmail.com to add other links.
Background Modeling via Discriminative Subspace Learning (1)
Background Modeling via Mixed Subspace Learning (0)
Background Modeling via Kernel Subspace Learning (0)
Background Modeling via Robust Subspace Models (via Outliers Suppression)
Background via other Robust Subspace Models (0)
Background Modeling via Robust Subspace Models (via Decomposition in Low rank and Sparse Matrices)
Background Modeling via RNMF (0)
Background Modeling via other Robust Subspace Recovery (0)
Background Modeling via Robust Subspace Tensors (via Outliers Suppression)
Background Modeling via RTSL
Background Modeling via Robust Subspace Tensors (via Decomposition in Low rank and Sparse Tensors)
Background Modeling via RNMF Tensors (0)
Background Modeling via RTC (0)
Background Modeling via other Robust Tensor Recovery (1)
Background Modeling via LRT (1)
Transform Domain Background Modeling (0)
Author: Thierry BOUWMANS, Associate Professor, Lab. MIA, Univ. Rochelle, France.
Fair Use Policy
As this website gives many information that come from my research, please cite my following survey papers:
T. Bouwmans, “Traditional and Recent Approaches in Background Modeling for Foreground Detection: An Overview”, Computer Science Review, 2014. [pdf]
T. Bouwmans, E. Zahzah, “Robust PCA via Principal Component Pursuit: A Review for a Comparative Evaluation in Video Surveillance”, Special Issue on Background Models Challenge, Computer Vision and Image Understanding, CVIU 2014, Volume 122, pages 22–34, May 2014. [pdf]
T. Bouwmans, "Recent Advanced Statistical Background Modeling for Foreground Detection: A Systematic Survey", Recent Patents on Computer Science, Volume 4, No. 3, pages147-176, September 2011. [pdf]
Note: My publications are available on Academia, Research Gate, Researchr, Science Stage and Publication List.