| Traditional and recent approaches in background modeling for foreground detection: An overview T Bouwmans Computer Science Review 11, 31-66, 2014 | 612 | 2014 |
| Background modeling using mixture of gaussians for foreground detection-a survey T Bouwmans, F El Baf, B Vachon | 601 | 2008 |
| Robust PCA via Principal Component Pursuit: A review for a comparative evaluation in video surveillance T Bouwmans, EH Zahzah Computer Vision and Image Understanding 122, 22-34, 2014 | 393 | 2014 |
| Recent advanced statistical background modeling for foreground detection-a systematic survey T Bouwmans Recent Patents on Computer Science 4 (3), 147-176, 2011 | 356 | 2011 |
| Decomposition into low-rank plus additive matrices for background/foreground separation: A review for a comparative evaluation with a large-scale dataset T Bouwmans, A Sobral, S Javed, SK Jung, EH Zahzah Computer Science Review 23, 1-71, 2017 | 254 | 2017 |
| Statistical background modeling for foreground detection: A survey T Bouwmans, FE Baf, B Vachon Handbook of Pattern Recognition and Computer, 181-199, 2010 | 175 | 2010 |
| Fuzzy integral for moving object detection F El Baf, T Bouwmans, B Vachon Fuzzy Systems, 2008. FUZZ-IEEE 2008.(IEEE World Congress on Computational …, 2008 | 144 | 2008 |
| Background Modeling and Foreground Detection for Video Surveillance T Bouwmans, F Porikli, B Höferlin, A Vacavant CRC Press, 2014 | 140* | 2014 |
| Type-2 fuzzy mixture of Gaussians model: application to background modeling F El Baf, T Bouwmans, B Vachon Advances in Visual Computing, 772-781, 2008 | 140 | 2008 |
| Robust subspace learning: Robust PCA, robust subspace tracking, and robust subspace recovery N Vaswani, T Bouwmans, S Javed, P Narayanamurthy IEEE signal processing magazine 35 (4), 32-55, 2018 | 132 | 2018 |
| Subspace learning for background modeling: A survey T Bouwmans | 121 | 2009 |
| An extended center-symmetric local binary pattern for background modeling and subtraction in videos C Silva, T Bouwmans, C Frélicot International Joint Conference on Computer Vision, Imaging and Computer …, 2015 | 118 | 2015 |
| Lrslibrary: Low-rank and sparse tools for background modeling and subtraction in videos A Sobral, T Bouwmans, E Zahzah Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and …, 2016 | 90 | 2016 |
| Robust principal component analysis for background subtraction: Systematic evaluation and comparative analysis C Guyon, T Bouwmans, E Zahzah Principal component analysis, 2012 | 90 | 2012 |
| New trends on moving object detection in video images captured by a moving camera: A survey M Yazdi, T Bouwmans Computer Science Review 28, 157-177, 2018 | 89 | 2018 |
| On the Applications of Robust PCA in Image and Video Processing T Bouwmans, S Javed, H Zhang, Z Lin, R Otazo Proceedings of the IEEE 106 (8), 1427-1457, 2018 | 87 | 2018 |
| Deep neural network concepts for background subtraction: A systematic review and comparative evaluation T Bouwmans, S Javed, M Sultana, SK Jung Neural Networks, 2019 | 83 | 2019 |
| Background–foreground modeling based on spatiotemporal sparse subspace clustering S Javed, A Mahmood, T Bouwmans, SK Jung IEEE Transactions on Image Processing 26 (12), 5840-5854, 2017 | 79 | 2017 |
| Scene background initialization: A taxonomy T Bouwmans, L Maddalena, A Petrosino Pattern Recognition Letters 96, 3-11, 2017 | 78 | 2017 |
| Background subtraction for visual surveillance: A fuzzy approach T Bouwmans Handbook on soft computing for video surveillance 5, 103-138, 2012 | 77 | 2012 |
Sajid JavedResearch Scientist at KUCARS, Abu Dhabi, UAEAdresse e-mail validée de ku.ac.ae
