2025
U. Panigrahi, P. Sahoo, M. Panda, T. Bouwmans, “Parallel Stream and Dual Channel Feature Fusion for Moving Object Detection”, Submitted in 2025.
M. Kapoor, B. Subudhi, V. Jakhetiya, A. Bansal, T. Bouwmans, “MD-UMOS: Markov Diffusion Induced Spectral Graph Learning for Underwater Moving Object Segmentation”, Submitted to Image and Vision Computing in 2025.
M. Kapoor, W. Prummel, J. Giraldo, B. Subudhi, A. Zakharova, T. Bouwmans, A. Bansal, “Graph-based Moving Object Segmentation for Underwater Videos using Semi-supervised Learning”, Computer Vision and Image Understanding, 2025.
2024
M. Panda, B. Subudhi, T. Veerakumar, V. Jakhetiya, T. Bouwmans, "A Multi-scale Contrast Preserving Encoder-Decoder Architecture for Local Change Detection from Thermal Video Scenes", IEEE Transactions on Information Forensics and Security, 2024.
M. Amoozegar, M. Akbarizadeh, T. Bouwmans, “Robust and Efficient FISTA-based Method for Moving Object Detection under Background Movements”, Knowledge-Based Systems, April 2024.
2022
M. Sultana, A. Mahmood, T. Bouwmans, S. Jung, "Moving Objects Segmentation using Generative Adversarial Modeling", Neurocomputing, Volume 506, pages 240-251, September 2022. [pdf][Cited by]
2020
J. Giraldo, S. Javed, T. Bouwmans, "Graph Moving Object Segmentation", IEEE Transactions on Pattern Analysis and Machine Intelligence, December 2020. [pdf][Cited by]
M. Chapel, T. Bouwmans, "Moving Objects Detection with a Moving Camera: A Comprehensive Review", Computer Science Review, Volume 38, November 2020. [pdf][Cited by] (347 references)
S. Ammar, T. Bouwmans, N. Zaghden, M. Neji, "A Deep Detector Classifier (DeepDC) for moving objects segmentation and classification in video surveillance", IET Image Processing, 2020. [pdf][Cited by]
B. Garcia-Garcia, T. Bouwmans, A. Rosales-Silva, "Background Subtraction in Real Applications: Challenges, Current Models and Future Directions", Computer Science Review, Volume 35, February 2020. [pdf][Cited by](428 references)
2019
T. Bouwmans, S. Javed, M. Sultana, S. Jung, “Deep Neural Network Concepts in Background Subtraction: A Systematic Review and A Comparative Evaluation”, Neural Networks, Volume 117, pages 7-66, September 2019. [pdf][Cited by] (56 references)
S. Javed, A. Mahmood, S. Al-Maadeed, T. Bouwmans, S. Jung,"Moving Object Detection in Complex Scene using Spatio-temporal Structured-Sparse RPCA", IEEE Transactions on Image Processing, Volume 28, No. 2, pages 1007-1022, February 2019. [pdf][Cited by]
2018
T. Bouwmans, S. Javed, H. Zhang, Z. Lin, "On the Applications of Robust PCA in Image and Video Processing", Proceedings of the IEEE, pages 1427-1457, 2018. [pdf][Cited by] (356 references)
M. Yazdi, T. Bouwmans, "New Trends on Moving Object Detection in Video Images Captured by a Moving Camera: A Survey", Computer Science Review, Volume 28, pages 157–177, May 2018. [pdf][Cited by] (217 references)
T. Bouwmans, C. Silva, C. Marghes, M. Zitouni, H. Bhaskar, C. Frelicot, “On the Role and the Importance of Features for Background Modeling and Foreground Detection”, Computer Science Review, Volume 28, pages 26-91, May 2018. [pdf][Cited by] (696 references)
2017
S. Javed, A. Mahmood, T. Bouwmans, S. Jung, "Background-Foreground Modeling Based on Spatio-temporal Sparse Subspace Clustering", IEEE Transactions on Image Processing, Volume 26, No. 12, pages 5840-5854, December 2017. [pdf][Cited by]
C. Pacheco, T. Bouwmans, C. Frelicot,"Superpixel-based online wagging one-class ensemble for feature selection in foreground/background separation", Pattern Recognition Letters, pages 144-151, December 2017. [pdf][Cited by]
T. Bouwmans, L. Maddalena, A. Petrosino, "Scene Background Initialization: a Taxonomy", Pattern Recognition Letters, Volume 96, pages 3-11, September 2017. [pdf][Cited by]
T. Bouwmans, A. Sobral, S. Javed, S. Jung, E. Zahzah, "Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale Dataset", Computer Science Review, Volume 23, pages 1-71, February 2017. [pdf][Cited by] (470 references)
2016
W. Gong, X. Zhang, J. Gonzalez, A. Sobral, T. Bouwmans, C. Tu, E. Zahzah, “Human Pose Estimation from Monocular Images: A Comprehensive Survey”, MDPI Sensors, November 2016. [pdf][Cited by] (330 references)
S. Javed, A. Mahmood, T. Bouwmans, S. Jung, “Spatiotemporal Low-rank Modeling for Complex Scene Background Initialization", IEEE Transactions on Circuits and Systems for Video Technology, December 2016. [Project page] [Presentation][pdf][Cited by]
2015
S. Javed, S. Oh, T. Bouwmans, S. Jung, "Robust Background Subtraction to Global Illumination Changes via Multiple Features based OR-PCA with MRF", Journal of Electronic Imaging, 2015
2014
T. Bouwmans, “Traditional and Recent Approaches in Background Modeling for Foreground Detection: An Overview”, Computer Science Review, Volume 11, pages 31-66, May 2014. [pdf][Cited by] (320 references)
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][Cited by] (70 references)
2012
D. Farcas, C. Marghes, T. Bouwmans, “Background Subtraction via Incremental Maximum Margin Criterion: A discriminative approach” , Machine Vision and Applications, Volume 23, Issue 6, pages 1083-1101, October 2012. [pdf][Cited by]
2011
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][Comments][Cited by] (360 references)
2009
T. Bouwmans, F. El Baf, “Modeling of Dynamic Backgrounds by Type-2 Fuzzy Gaussians Mixture Models”, MASAUM Journal of Basic and Applied Sciences, Volume 1, Issue 2, pages 265-277, September 2009. [pdf][Cited by]
T. Bouwmans, “Subspace Learning for Background Modeling: A Survey”, Recent Patents on Computer Science, Volume 2, No 3, pages 223-234, November 2009. [pdf][Comments][Cited by] (60 papers)
2008
T. Bouwmans, F. El Baf, B. Vachon, “Background Modeling using Mixture of Gaussians for Foreground Detection: A Survey”, Recent Patents on Computer Science, Volume 1, No 3, pages 219-237, November 2008. [pdf][Comments][Cited by] (170 papers)