Bouwer, D.[Darren]
* 2020: Combining Historical Remote Sensing, Digital Soil Mapping and Hydrological Modelling to Produce Solutions for Infrastructure Damage in Cosmo City, South Africa
Bouwhuisen, C.F.[Chris F.]
* 2002: 3D motion-tracking method in graphonomic research: possible applications in future handwriting recognition studies, A
Bouwman, T.[Thierry]
* 2010: Background Modeling via Incremental Maximum Margin Criterion
Bouwmans, T.
* 2001: Extraction of line segments from fuzzy images
* 2001: new stereomatching algorithm based on linear features and the fuzzy integral, A
* 2008: Background Modeling using Mixture of Gaussians for Foreground Detection: A Survey
* 2008: fuzzy approach for background subtraction, A
* 2008: Fuzzy foreground detection for infrared videos
* 2008: Type-2 Fuzzy Mixture of Gaussians Model: Application to Background Modeling
* 2009: Fuzzy statistical modeling of dynamic backgrounds for moving object detection in infrared videos
* 2009: Robust fuzzy statistical modeling of dynamic backgrounds in IR videos
* 2009: Statistical Background Modeling for Foreground Detection: A Survey
* 2009: Subspace Learning for Background Modeling: A Survey
* 2012: Background subtraction via incremental maximum margin criterion: a discriminative subspace approach
* 2012: Foreground detection based on low-rank and block-sparse matrix decomposition
* 2012: Foreground Detection by Robust PCA Solved via a Linearized Alternating Direction Method
* 2012: Foreground Detection via Robust Low Rank Matrix Decomposition Including Spatio-Temporal Constraint
* 2012: Foreground detection via robust low rank matrix factorization including spatial constraint with Iterative reweighted regression
* 2012: Moving Object Detection by Robust PCA Solved via a Linearized Symmetric Alternating Direction Method
* 2012: Moving Object Detection via Robust Low Rank Matrix Decomposition with Irls Scheme
* 2014: Incremental and Multi-feature Tensor Subspace Learning Applied for Background Modeling and Subtraction
* 2014: OR-PCA with MRF for Robust Foreground Detection in Highly Dynamic Backgrounds
* 2014: Robust PCA via Principal Component Pursuit: A review for a comparative evaluation in video surveillance
* 2014: Special issue on background modeling for foreground detection in real-world dynamic scenes
* 2015: Background Subtraction via Superpixel-Based Online Matrix Decomposition with Structured Foreground Constraints
* 2015: Combining ARF and OR-PCA for Robust Background Subtraction of Noisy Videos
* 2015: Comparison of Matrix Completion Algorithms for Background Initialization in Videos
* 2015: Depth extended online RPCA with spatiotemporal constraints for robust background subtraction
* 2015: Double-constrained RPCA based on saliency maps for foreground detection in automated maritime surveillance
* 2015: Online Stochastic Tensor Decomposition for Background Subtraction in Multispectral Video Sequences
* 2016: GMM Background Modeling Using Divergence-Based Weight Updating
* 2016: Motion-Aware Graph Regularized RPCA for background modeling of complex scenes
* 2016: Online Weighted One-Class Ensemble for feature selection in background/foreground separation
* 2017: Background-Foreground Modeling Based on Spatiotemporal Sparse Subspace Clustering
* 2017: Editorial: Scene background modeling and initialization
* 2017: Guest Editorial Introduction to the Special Issue on Group and Crowd Behavior Analysis for Intelligent Multicamera Video Surveillance
* 2017: Scene background initialization: A taxonomy
* 2017: Superpixel-based online wagging one-class ensemble for feature selection in foreground/background separation
* 2018: On the Applications of Robust PCA in Image and Video Processing
* 2018: Rethinking PCA for Modern Data Sets: Theory, Algorithms, and Applications
* 2018: Spatiotemporal Low-Rank Modeling for Complex Scene Background Initialization
* 2019: Complete Moving Object Detection in the Context of Robust Subspace Learning
* 2019: Moving Object Detection in Complex Scene Using Spatiotemporal Structured-Sparse RPCA
* 2020: Deep detector classifier (DeepDC) for moving objects segmentation and classification in video surveillance
* 2020: Dual Information-Based Background Model For Moving Object Detection
* 2020: Dynamic Background Subtraction Using Least Square Adversarial Learning
* 2020: Semi-Supervised Background Subtraction Of Unseen Videos: Minimization of the Total Variation Of Graph Signals
* 2020: Towards an Effective Approach for Face Recognition with DCGANS Data Augmentation
* 2021: Background/Foreground Separation: Guided Attention based Adversarial Modeling (GAAM) versus Robust Subspace Learning Methods
* 2021: Graph CNN for Moving Object Detection in Complex Environments from Unseen Videos
* 2021: GraphBGS: Background Subtraction via Recovery of Graph Signals
* 2021: Moving Object Detection for Event-based Vision using Graph Spectral Clustering
* 2022: Graph Moving Object Segmentation
* 2022: Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation
* 2023: Inductive Graph Neural Networks for Moving Object Segmentation
Includes: Bouwmans, T. Bouwmans, T.[Thierry]
52 for Bouwmans, T.
Bouwmeester, J.[Jessica]
* 2021: New Deep Learning Engine for CoralNet, A