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Chapters

2019

T. Bouwmans, B. Garcia-Garcia, “Visual Surveillance of Human Activities: Background Subtraction Challenges and Methods”, Chapter 4, Handbook on “From Visual Surveillance to Internet of Things: technology and applications”, CRC Press, Taylor and Francis Group, 2019.

T. Bouwmans, B. Garcia-Garcia, "Visual Surveillance of Natural Environments: Background Subtraction Challenges and Methods", Chapter 5, Handbook on “From Visual Surveillance to Internet of Things: technology and applications”, CRC Press, Taylor and Francis Group, 2019.

2016

T. Bouwmans, E. Zahzah,"Robust Principal Component Analysis via Decomposition into Low-rank and Sparse Matrices: An overview", Handbook on "Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing", CRC Press, Taylor and Francis Group, May 2016. [pdf]

A. Sobral, T. Bouwmans, E. Zahzah, "LRSLibrary: Low-Rank and Sparse tools for Background Modeling and Subtraction in Videos", Handbook on "Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing", CRC Press, Taylor and Francis Group, May 2016. [pdf]

S. Javed, S. Oh, T. Bouwmans, S. Jung, "Stochastic RPCA for Background/Foreground Separation", Handbook on "Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing", CRC Press, Taylor and Francis Group, May 2016. [pdf]

2014

T. Bouwmans, Traditional Approaches in Background Modeling for Static Cameras, Chapter 1, Handbook on "Background Modeling and Foreground Detection for Video Surveillance: Traditional and Recent Approaches, Implementations, Benchmarking and Evaluation", CRC Press, Taylor and Francis Group, July 2014. [pdf]

T. Bouwmans,Recent Approaches in Background Modeling for Static Cameras, Chapter 2, Handbook on "Background Modeling and Foreground Detection for Video Surveillance: Traditional and Recent Approaches, Implementations, Benchmarking and Evaluation", CRC Press, Taylor and Francis Group, July 2014. [pdf]

A. Sobral, T. Bouwmans, “BGS Library: A Library Framework for Algorithm’s Evaluation in Foreground/Background Segmentation”, Chapter 23, Handbook on "Background Modeling and Foreground Detection for Video Surveillance: Traditional and Recent Approaches, Implementations, Benchmarking and Evaluation", Taylor and Francis Group, July 2014. [pdf]

2012

C. Guyon, T. Bouwmans, E. Zahzah, “Robust Principal Component Analysis for Background Subtraction: Systematic Evaluation and Comparative Analysis”, INTECH, Principal Component Analysis, Book 1, Chapter 12, page 223-238, March 2012. [pdf][Cited by] (21 references)

T. Bouwmans, “Background Subtraction For Visual Surveillance: A Fuzzy Approach”, Handbook on Soft Computing for Video Surveillance, S. Pal, A. Petrosino, L. Maddalena, Taylor and Francis Group, Chapter 5, March 2012. [pdf][Cited by] (64 references)

2010

T. Bouwmans, F. El Baf, B. Vachon, “Statistical Background Modeling for Foreground Detection: A Survey”, Handbook of Pattern Recognition and Computer Vision, World Scientific Publishing, Volume 4, Part 2, Chapter 3, pages 181-199, January 2010.[pdf] [Comments][Cited by] (98 references)