| A comprehensive review of background subtraction algorithms evaluated with synthetic and real videos A Sobral, A Vacavant Computer Vision and Image Understanding 122, 4-21, 2014 | 824 | 2014 |
| 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, S Ki Jung, EH Zahzah arXiv:1511.01245, 2015 | 396 | 2015 |
| BGSLibrary: An OpenCV C++ Background Subtraction Library A Sobral IX Workshop de Visão Computacional (WVC’2013), 2013 | 287 | 2013 |
| Human Pose Estimation from Monocular Images: A Comprehensive Survey W Gong, X Zhang, J Gonzalez, A Sobral, T Bouwmans, C Tu, E Zahzah | 187 | 2016 |
| 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 …, 2015 | 156 | 2015 |
| Handbook of robust low-rank and sparse matrix decomposition: Applications in image and video processing T Bouwmans, NS Aybat, E Zahzah CRC Press, 2016 | 126 | 2016 |
| Online Stochastic Tensor Decomposition for Background Subtraction in Multispectral Video Sequences A Sobral, S Javed, S Ki Jung, T Bouwmans, E Zahzah IEEE International Conference on Computer Vision (ICCV), Workshop on Robust …, 2015 | 107 | 2015 |
| Background Subtraction via Superpixel-based Online Matrix Decomposition with Structured Foreground Constraints S Javed, S Ho Oh, A Sobral, T Bouwmans, S Ki Jung IEEE International Conference on Computer Vision (ICCV), Workshop on Robust …, 2015 | 73 | 2015 |
| Double-constrained RPCA based on Saliency Maps for Foreground Detection in Automated Maritime Surveillance A Sobral, T Bouwmans, E Zahzah International Workshop on Identification and Surveillance for Border Control …, 2015 | 73 | 2015 |
| Highway Traffic Congestion Classification Using Holistic Properties A Sobral, L Oliveira, L Schnitman, F De Souza 10th IASTED International Conference on Signal Processing, Pattern …, 2013 | 71* | 2013 |
| Incremental and Multi-feature Tensor Subspace Learning applied for Background Modeling and Subtraction A Sobral, CG Baker, T Bouwmans, E Zahzah International Conference on Image Analysis and Recognition (ICIAR 2014), 2014 | 64 | 2014 |
| BGS Library: A Library Framework for Algorithm’s Evaluation in Foreground/Background Segmentation A Sobral, T Bouwmans Background Modeling and Foreground Detection for Video Surveillance, 2014 | 61 | 2014 |
| Matrix and Tensor Completion Algorithms for Background Model Initialization: A Comparative Evaluation A Sobral, E Zahzah Pattern Recognition Letters (PRL), Special Issue on Scene Background …, 2016 | 58 | 2016 |
| OR-PCA with MRF for robust foreground detection in highly dynamic backgrounds S Javed, SH Oh, A Sobral, T Bouwmans, SK Jung Computer Vision--ACCV 2014: 12th Asian Conference on Computer Vision …, 2015 | 58 | 2015 |
| Comparison of Matrix Completion Algorithms for Background Initialization in Videos A Sobral, T Bouwmans, E Zahzah Scene Background Modeling and Initialization (SBMI) Workshop in conjunction …, 2015 | 43 | 2015 |
| OR-PCA with Dynamic Feature Selection for Robust Background Subtraction S Javed, A Sobral, T Bouwmans, S Ki Jung In Proceedings of the 30th ACM/SIGAPP Symposium on Applied Computing (ACM …, 2015 | 39 | 2015 |
| An automatic facial expression recognition system evaluated with different classifiers C Silva, A Sobral, RT Vieira X Workshop de Visão Computacional (WVC’2014), 2014 | 18 | 2014 |
| Robust low-rank and sparse decomposition for moving object detection: from matrices to tensors AC Sobral Université de La Rochelle, 2017 | 12 | 2017 |
| Discovering Local Binary Pattern Equation for Foreground Object Removal in Videos CPE Silva, AC Sobral, A Vacavant, T Bouwmans, F De Souza arXiv preprint arXiv:2308.06305, 2023 | | 2023 |
| Automated Mathematical Equation Structure Discovery for Visual Analysis CPE Silva, JAM De Souza, A Vacavant, T Bouwmans, AC Sobral arXiv preprint arXiv:2104.08633, 2021 | | 2021 |
Thierry BOUWMANSLaboratoire MIA, La Rochelle Université在 univ-lr.fr 的电子邮件经过验证
