1. Benjamin Laugraud. Motion-aware temporal median filtering for robust background estimation. PhD thesis, University of Liège, Belgium, March 2020. Keyword(s): Background estimation, Background initialization, Background generation, Motion detection, Background subtraction, Optical flow, Semantic segmentation, Scene parsing, Median filtering, SBI dataset, SBMnet dataset, LaBGen, LaBGen-P, LaBGen-OF, LaBGen-P-Semantic, Computer vision, Image processing. [bibtex-entry]

1. Michaël Fonder, Damien Ernst, and Marc Van Droogenbroeck. Parallax Inference for Robust Temporal Monocular Depth Estimation in Unstructured Environments. Sensors, 22(23):1-22, December 2022. Keyword(s): Depth, Depth estimation, Deep learning, Drone, UAV, Parallax. [bibtex-entry]



2. Michaël Fonder and Marc Ernst, DamienVan Droogenbroeck. M4Depth: Monocular depth estimation for autonomous vehicles in unseen environments. ArXiv, abs/2105.09847, May 2021. Keyword(s): Depth estimation, Drone, UAV, Artificial Intelligence, Deep learning. [bibtex-entry]

1. Arnaud Leduc, Anthony Cioppa, Silvio Giancola, Bernard Ghanem, and Marc Van Droogenbroeck. SoccerNet-Depth: a Scalable Dataset for Monocular Depth Estimation in Sports Videos. In IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports, Seattle, Washington, USA, June 2024. Keyword(s): Soccer, SoccerNet, Football, Depth estimation, Volley-ball, Synthetic data, Dataset. [bibtex-entry]



2. Michaël Fonder and Marc Van Droogenbroeck. A technique to jointly estimate depth and depth uncertainty for unmanned aerial vehicles. In IEEE International Conference on Systems, Signals and Image Processing (IWSSIP), Ohrid, North Macedonia, pages 1-5, June 2023. Keyword(s): Depth, Depth estimation, Depth uncertainty, Deep learning, Drone, UAV, Parallax. [bibtex-entry]



3. Samir Azrour, Sébastien Piérard, Pierre Geurts, and Marc Van Droogenbroeck. A two-step methodology for human pose estimation increasing the accuracy and reducing the amount of learning samples dramatically. In Advanced Concepts for Intelligent Vision Systems (ACIVS), volume 10617 of Lecture Notes in Computer Science, pages 3-14, 2017. Keyword(s): Pose estimation, Orientation estimation. [bibtex-entry]



4. Samir Azrour, Sébastien Piérard, and Marc Van Droogenbroeck. Improving pose estimation by building dedicated datasets and using orientation. In IET Workshop on Human Motion Analysis for Healthcare Applications, London, United Kingdom, May 2016. Keyword(s): Pose estimation, Human, Depth camera, 3D camera, Orientation. [bibtex-entry]



5. Samir Azrour, Sébastien Piérard, and Marc Van Droogenbroeck. Leveraging orientation knowledge to enhance human pose estimation methods. In Articulated Motion and Deformable Objects AMDO, volume 9756 of Lecture Notes in Computer Science, Palma, Mallorca, Spain, pages 81-87, 2016. Springer. Keyword(s): Human pose estimation, Orientation, 3D, Machine learning. [bibtex-entry]



6. Benjamin Laugraud, Sébastien Piérard, and Marc Van Droogenbroeck. LaBGen-P: A Pixel-Level Stationary Background Generation Method Based on LaBGen. In International Conference on Pattern Recognition (ICPR), Scene Background Modeling Contest (SBMC), Cancun, Mexico, December 2016. Note: Source code in C++ available, see http://www.telecom.ulg.ac.be/labgen. Keyword(s): Background generation, Background modelling, Background image, Source code, LaBGen, Background estimation, Initialization, SBMnet, SBMC, Motion detection, LaBGen. [bibtex-entry]



7. Sébastien Piérard and Marc Van Droogenbroeck. A perfect estimation of a background image does not lead to a perfect background subtraction: analysis of the upper bound on the performance. In International Conference on Image Analysis and Processing (ICIAP), Workshop on Scene Background Modeling and Initialization (SBMI), volume 9281 of Lecture Notes in Computer Science, pages 56-65, September 2015. Keyword(s): Background subtraction, Evaluation, Performance analysis, Upper bound. [bibtex-entry]



8. Sébastien Piérard and Marc Van Droogenbroeck. Estimation of human orientation based on silhouettes and machine learning principles. In International Conference on Pattern Recognition Applications and Methods (ICPRAM), volume 2, Vilamoura, Portugal, pages 51-60, February 2012. Keyword(s): Human, Orientation, Machine learning, Regression, Estimation, MakeHuman. [bibtex-entry]



9. Sébastien Piérard and Marc Van Droogenbroeck. On the human pose recovery based on a single view. In International Conference on Pattern Recognition Applications and Methods (ICPRAM), volume 2, Vilamoura, Portugal, pages 310-315, February 2012. Keyword(s): Human, Silhouette, Pose, Pose recovery, Pose estimation. [bibtex-entry]



10. Sébastien Piérard, Damien Leroy, Jean-François Hansen, and Marc Van Droogenbroeck, Marc. Estimation of human orientation in images captured with a range camera. In Advanced Concepts for Intelligent Vision Systems (ACIVS), volume 6915 of Lecture Notes in Computer Science, pages 519-530, 2011. Springer. Keyword(s): Human, Orientation, Depth, Range camera, Machine learning, MakeHuman. [bibtex-entry]

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