Marc Van Droogenbroeck
Marc Van Droogenbroeck
University of Liège / Université de Liège (ULiège - ULg), Belgium
Verified email at - Homepage
Cited by
Cited by
ViBe: A universal background subtraction algorithm for video sequences
O Barnich, M Van Droogenbroeck
IEEE Transactions on Image Processing 20 (6), 1709-1724, 2011
ViBe: a powerful random technique to estimate the background in video sequences
O Barnich, M Van Droogenbroeck
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2009
Background subtraction: Experiments and improvements for ViBe
M Van Droogenbroeck, O Paquot
IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW …, 2012
Deep background subtraction with scene-specific convolutional neural networks
M Braham, M Van Droogenbroeck
IEEE International Conference on Systems, Signals and Image Processing …, 2016
Techniques for a selective encryption of uncompressed and compressed images
M Van Droogenbroeck, R Benedett
Proceedings of Advanced Concepts for Intelligent Vision Systems (ACIVS) 2002 …, 2002
VIP: Vortex Image Processing package for high-contrast direct imaging
CA Gonzalez, O Wertz, O Absil, V Christiaens, D Defrere, D Mawet, J Milli, ...
The Astronomical Journal 14 (1), 1-12, 2017
Fast computation of morphological operations with arbitrary structuring elements
M Van Droogenbroeck, H Talbot
Pattern recognition letters 17 (14), 1451-1460, 1996
Semantic Background Subtraction
M Braham, S Piérard, M Van Droogenbroeck
IEEE International Conference on Image Processing (ICIP), 4552-4556, 2017
Soccernet-v2: A dataset and benchmarks for holistic understanding of broadcast soccer videos
A Deliege, A Cioppa, S Giancola, MJ Seikavandi, JV Dueholm, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
Morphological erosions and openings: fast algorithms based on anchors
M Van Droogenbroeck, MJ Buckley
Journal of Mathematical Imaging and Vision 22, 121-142, 2005
A Context-Aware Loss Function for Action Spotting in Soccer Videos
A Cioppa, A Deliège, S Giancola, B Ghanem, M Van Droogenbroeck, ...
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2020
Mid-Air: A multi-modal dataset for extremely low altitude drone flights
M Fonder, M Van Droogenbroeck
IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW …, 2019
Low-rank plus sparse decomposition for exoplanet detection in direct imaging ADI sequences: The LLSG algorithm
C Gomez Gonzalez, O Absil, PA Absil, M Van Droogenbroeck, D Mawet, ...
Astronomy & Astrophysics 589 (A54), 1-9, 2016
A new three object triangulation algorithm for mobile robot positioning
V Pierlot, M Van Droogenbroeck
IEEE Transactions on Robotics 30 (3), 566-577, 2014
Frontal-view gait recognition by intra-and inter-frame rectangle size distribution
O Barnich, M Van Droogenbroeck
Pattern Recognition Letters 30 (10), 893-901, 2009
New solutions to the problem of range dependence in bistatic STAP radars
FD Lapierre, JG Verly, M Van Droogenbroeck
Proceedings of the IEEE Radar Conference, 452-459, 2003
ViBe: A Disruptive Method for Background Subtraction
M Van Droogenbroeck, O Barnich
Background Modeling and Foreground Detection for Video Surveillance, 7.1-7.23, 2014
Combining color, depth, and motion for video segmentation
J Leens, S Piérard, O Barnich, M Van Droogenbroeck, JM Wagner
Computer Vision Systems: 7th International Conference on Computer Vision …, 2009
Hitnet: a neural network with capsules embedded in a hit-or-miss layer, extended with hybrid data augmentation and ghost capsules
A Deliege, A Cioppa, M Van Droogenbroeck
arXiv preprint arXiv:1806.06519, 2018
Partial encryption of images for real-time applications
M Van Droogenbroeck
Fourth IEEE Signal Processing Symposium, 2004
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