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 | 558 | 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, SK Jung, EH Zahzah Computer Science Review 23, 1-71, 2017 | 400 | 2017 |
Human pose estimation from monocular images: A comprehensive survey W Gong, X Zhang, J Gonzàlez, A Sobral, T Bouwmans, C Tu, E Zahzah Sensors 16 (12), 1966, 2016 | 193 | 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 …, 2016 | 157 | 2016 |
Handbook of robust low-rank and sparse matrix decomposition: Applications in image and video processing T Bouwmans, NS Aybat, E Zahzah CRC Press, 2016 | 129 | 2016 |
Robust principal component analysis for background subtraction: Systematic evaluation and comparative analysis C Guyon, T Bouwmans, E Zahzah Principal component analysis 10, 223-238, 2012 | 114 | 2012 |
Online stochastic tensor decomposition for background subtraction in multispectral video sequences A Sobral, S Javed, S Ki Jung, T Bouwmans, E Zahzah Proceedings of the IEEE International Conference on Computer Vision …, 2015 | 109 | 2015 |
Foreground detection based on low-rank and block-sparse matrix decomposition C Guyon, T Bouwmans, EH Zahzah 2012 19th IEEE International Conference on Image Processing, 1225-1228, 2012 | 79 | 2012 |
Double-constrained RPCA based on saliency maps for foreground detection in automated maritime surveillance A Sobral, T Bouwmans, E ZahZah 2015 12th IEEE international conference on advanced video and signal based …, 2015 | 74 | 2015 |
Incremental and multi-feature tensor subspace learning applied for background modeling and subtraction A Sobral, CG Baker, T Bouwmans, E Zahzah Image Analysis and Recognition: 11th International Conference, ICIAR 2014 …, 2014 | 64 | 2014 |
Matrix and tensor completion algorithms for background model initialization: A comparative evaluation A Sobral, E Zahzah Pattern Recognition Letters 96, 22-33, 2017 | 59 | 2017 |
Foreground detection via robust low rank matrix decomposition including spatio-temporal constraint C Guyon, T Bouwmans, EH Zahzah Asian conference on computer vision, 315-320, 2012 | 57 | 2012 |
Numeric and symbolic data fusion: A soft computing approach to remote sensing images analysis J Desachy, L Roux, EH Zahzah Pattern Recognition Letters 17 (13), 1361-1378, 1996 | 55 | 1996 |
Comparison of matrix completion algorithms for background initialization in videos A Sobral, T Bouwmans, E Zahzah New Trends in Image Analysis and Processing--ICIAP 2015 Workshops: ICIAP …, 2015 | 45 | 2015 |
Foreground detection via robust low rank matrix factorization including spatial constraint with iterative reweighted regression C Guyon, T Bouwmans, EH Zahzah Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 35 | 2012 |
Contribution à la représentation des connaissances et à leur utilisation pour l'interprétation automatique des images satellite EH Zahzah Toulouse 3, 1992 | 32 | 1992 |
Moving object detection via robust low rank matrix decomposition with IRLS scheme C Guyon, T Bouwmans, EH Zahzah International symposium on visual computing, 665-674, 2012 | 31 | 2012 |
Image understanding using fuzzy isomorphism of fuzzy structures C Demko, E Zahzah Proceedings of 1995 IEEE International Conference on Fuzzy Systems. 3, 1665-1672, 1995 | 21 | 1995 |
On the improvement of combined fuzzy topological and directional relations information N Salamat, E Zahzah Pattern Recognition 45 (4), 1559-1568, 2012 | 19 | 2012 |
The detection of moving objects in video by background subtraction using Dempster-Shafer theory O Munteanu, T Bouwmans, EH Zahzah, R Vasiu Transactions on Electronics and Communications 60 (1), 1-9, 2015 | 18 | 2015 |