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Traditional and recent approaches in background modeling for foreground detection: An overview
T Bouwmans
Computer Science Review 11, 31-66, 2014
Background modeling using mixture of gaussians for foreground detection-a survey
T Bouwmans, F El Baf, B Vachon
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
Recent advanced statistical background modeling for foreground detection-a systematic survey
T Bouwmans
Recent Patents on Computer Science 4 (3), 147-176, 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
Statistical background modeling for foreground detection: A survey
T Bouwmans, FE Baf, B Vachon
Handbook of Pattern Recognition and Computer, 181-199, 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
Background Modeling and Foreground Detection for Video Surveillance
T Bouwmans, F Porikli, B Höferlin, A Vacavant
CRC Press, 2014
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
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
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
Subspace learning for background modeling: A survey
T Bouwmans
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
Deep neural network concepts for background subtraction: A systematic review and comparative evaluation
T Bouwmans, S Javed, M Sultana, SK Jung
Neural Networks, 2019
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
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
Robust principal component analysis for background subtraction: Systematic evaluation and comparative analysis
C Guyon, T Bouwmans, E Zahzah
Principal component analysis, 2012
A Fuzzy Background Modeling Approach for Motion Detection in Dynamic Backgrounds
Z Zhao, T Bouwmans, X Zhang, Y Fang
Multimedia and Signal Processing, 177-185, 2012
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
On the role and the importance of features for background modeling and foreground detection
T Bouwmans, C Silva, C Marghes, MS Zitouni, H Bhaskar, C Frelicot
Computer Science Review 28, 26-91, 2018
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