2026
T. Bouwmans, A. Zakharova, M. Kapoor, B. Subudhi, “Graph based Neural Networks Moving Object Detection in Geospatial Science”, Handbook on “Digital Twin Technology in Geospatial Science: Trends, Applications and Challenges”, Edited by L. Sharma and P. Garg, CRC Press, Taylor and Francis Group, July 2026.
M. Kapoor, B. Subudhi, T. Bouwmans, A. Bansal, “Hypergraph Convolutional Refinement in Latent Space for Underwater Geospatial Science”, Handbook on “Digital Twin Technology in Geospatial Science: Trends, Applications and Challenges”, Edited by L. Sharma and P. Garg, CRC Press, Taylor and Francis Group, July 2026.
2025
W. Prummel, J. Giraldo, B. Subudhi, A. Zakharova, T. Bouwmans, “Transductive and Inductive GNNs for Physical Moving Objects Detection in Surface Scenes for Digital Twins”, Chapter 10, Handbook on “DIGITAL TWINS: Concept, Applications and Challenges”, Edited by L. Sharma and P. Garg, CRC Press, Taylor and Francis Group, July 2025.
M. Kapoor, B. Subudhi, T. Bouwmans, A. Bansal, "Towards Graph Refactoring in Latent Space for Underwater Moving Object Detection for Digital Twins”, Chapter 11, Handbook on “DIGITAL TWINS: Concept, Applications and Challenges”, Edited by L. Sharma and P. Garg, CRC Press, Taylor and Francis Group, July 2025.
W. Prummel, J. Giraldo, A. Zakharova, T. Bouwmans, “Graph Neural Networks for Moving Object Detection in Videos", Pattern Recognition and Computer Vision in the New AI Era, Edited by C.H. Chen, World Scientific Publishing, April 2025.
M. Panda, B. Subudhi, T. Bouwmans, V. Jakheytiya, T. Veerakumar, "End to End Encoder-Decoder type Deep Neural Network Architecture with Feature Pooling for Local Changes From Video Scene", Pattern Recognition and Computer Vision in the New AI Era, Edited by C.H. Chen, World Scientific Publishing, April 2025.
2023
W. Prummel, A. Zakharova, T. Bouwmans, "Moving Objects Detection for Video Surveillance Applications in Society 5.0", Handbook on "Technological Prospects and Social Applications of Society 5.0" , Edited by L. Sharma and P. Garg, CRC Press, Taylor and Francis Group, 2023.
2022
B. Garcia-Garcia, T. Bouwmans, K. Sehairi, E. Zahzah, “Real-Time Implementations of Background Subtraction for IoT Applications”, Handbook on "Computer Vision and Internet of Things: Technologies and Applications", Edited by L. Sharma and M. Carpenter, CRC Press, Taylor and Francis Group, April 2022. [pdf]
2021
J. Giraldo, T. Bouwmans, “Moving Objects Detection in Video Processing: A Graph Signal Processing Approach for Background Subtraction”, Chapter 15, Handbook on "Artificial Intelligence Technologies, Applications, and Challenges", Edited by L. Sharma and P. Garg, CRC Press, Taylor and Francis Group, November 2021. [pdf]
2020
S. Ammar, T. Bouwmans, N. Zaghden, M. Neji, "From Moving Objects Detection to Classification and Recognition : A Review for Smart Environments", Part 4, Chapter 4, Handbook on "Towards Smart World: Homes to Cities using Internet of Things", Edited by L. Sharma, CRC Press, Taylor and Francis Group, 2020. [pdf]
J. Giraldo, H. Le, T. Bouwmans, "Deep Learning based Background Subtraction: A Systematic Survey", 6th Handbook of "Pattern Recognition and Computer Vision", Edited by C.H Chen, World Scientific Publishing, March 2020. [pdf]
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”, Edited by L. Sharma and P. Garg, CRC Press, Taylor and Francis Group, October 2019. [pdf]
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”, Edited by L. Sharma and P. Garg, CRC Press, Taylor and Francis Group, October 2019. [pdf]
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", CRC Press, 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", Edited by S. Pal, A. Petrosino and L. Maddalena, CRC Press, 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”, 4th Handbook of "Pattern Recognition and Computer Vision", Edited by C.H Chen, World Scientific Publishing, Volume 4, Part 2, Chapter 3, pages 181-199, January 2010.[pdf] [Comments][Cited by] (98 references)