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Publications of year 2014
Articles in journal or book chapters
  1. Pierre-Marc Jodoin, Sébastien Piérard, Y. Wang, and Marc Van Droogenbroeck. Overview and Benchmarking of Motion Detection Methods. In T. Bouwmans, F. Porikli, B. Hoferlin, and A. Vacavant, editors, Background Modeling and Foreground Detection for Video Surveillance, chapter 24. Chapman and Hall/CRC, July 2014. Keyword(s): Background subtraction, Book. [bibtex-entry]


  2. Marc Van Droogenbroeck and Olivier Barnich. ViBe: A Disruptive Method for Background Subtraction. In T. Bouwmans, F. Porikli, B. Hoferlin, and A. Vacavant, editors, Background Modeling and Foreground Detection for Video Surveillance, chapter 7, pages 7.1-7.23. Chapman and Hall/CRC, July 2014. Keyword(s): Background subtraction, ViBe, Book. [bibtex-entry]


  3. Vincent Pierlot and Marc Van Droogenbroeck. A new three object triangulation algorithm for mobile robot positioning. IEEE Transactions on Robotics, 30(3):566-577, June 2014. Keyword(s): Mobile robot, Positioning, Triangulation, Resection, Surveying, Source code. [bibtex-entry]


  4. Vincent Pierlot and Marc Van Droogenbroeck. BeAMS: a Beacon based Angle Measurement Sensor for mobile robot positioning. IEEE Transactions on Robotics, 30(3):533-549, June 2014. Keyword(s): Angle measurement, Beacons, Infrared detector, Mobile robot, Robot sensing system, Positioning, Triangulation. [bibtex-entry]


  5. Sébastien Piérard, Samir Azrour, Rémy Phan-Ba, V. Delvaux, P. Maquet, and Marc Van Droogenbroeck. Diagnosing multiple sclerosis with a gait measuring system, an analysis of the motor fatigue, and machine learning. Multiple Sclerosis Journal, 20(S1):171, September 2014. Note: Proceedings of ACTRIMS/ECTRIMS 2014 (Boston, USA), P232. Keyword(s): GAIMS, Multiple Sclerosis, Gait, Motor Fatigue. [bibtex-entry]


Conference articles
  1. Olivier Absil, Dimitri Mawet, Christian Delacroix, Pontus Forsberg, Mikael Karlsson, Serge Habraken, Jean Surdej, Pierre-Antoine Absil, Brunella Carlomagno, Valentin Christiaens, Denis Defrère, Carlos Gomez Gonzalez, Elsa Huby, Aïssa Jolivet, Julien Milli, Pierre Piron, Ernesto Vargas Catalan, and Marc Van Droogenbroeck. The VORTEX project: first results and perspectives. In Proc. SPIE, Adaptive Optics Systems IV, volume 9148, Montréal, Canada, July 2014. Keyword(s): VORTEX project, Optics, Coronograph, Background subtraction. [bibtex-entry]


  2. Samir Azrour, Sébastien Piérard, Pierre Geurts, and Marc Van Droogenbroeck. Data normalization and supervised learning to assess the condition of patients with multiple sclerosis based on gait analysis. In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Bruges, Belgium, pages 649-654, April 2014. Keyword(s): Data normalization, Machine learning, Multiple sclerosis. [bibtex-entry]


  3. Marc Braham, Antoine Lejeune, and Marc Van Droogenbroeck. A physically motivated pixel-based model for background subtraction in 3D images. In IEEE International Conference on 3D Imaging (IC3D), Liège, Belgium, pages 1-8, December 2014. Keyword(s): Background subtraction, 3D, Range, Depth, Kinect. [bibtex-entry]


  4. Antoine Lejeune, David Grogna, Marc Van Droogenbroeck, and Jacques Verly. Evaluation of pair-wise calibration techniques for range cameras and their ability to detect a mis-alignment. In International Conference on 3D Imaging (IC3D), Liège, Belgium, December 2014. Keyword(s): 3D, Range, Calibration, Depth, Time-of-Flight, Multi-camera. [bibtex-entry]


  5. Julien Osmalskyj, Marc Van Droogenbroeck, and Jean-Jacques Embrechts. Performances of low-level audio classifiers for large-scale music similarity. In International Conference on Systems, Signals and Image Processing (IWSSIP), Dubrovnik, Croatia, May 2014. Keyword(s): Audio features, Classification, Song, Music Information Retrieval, Rejector, Similarity. [bibtex-entry]


  6. Sébastien Piérard, Alejandro Marcos Alvarez, Antoine Lejeune, and Marc Van Droogenbroeck. On-the-fly Domain Adaptation of Binary Classifiers. In Belgian-Dutch Conference on Machine Learning (BENELEARN), Brussels, Belgium, June 2014. Keyword(s): Classifier, Machine learning. [bibtex-entry]


  7. Sébastien Piérard, Samir Azrour, Rémy Phan-Ba, and Marc Van Droogenbroeck. Detection and characterization of gait modifications, for the longitudinal follow-up of patients with neurological diseases, based on the gait analyzing system GAIMS. In European Life Sciences Summit BIOMEDICA, Maastricht, The Netherlands, June 2014. Keyword(s): GAIMS, Gait, Follow-up, Patient, Multiple sclerosis. [bibtex-entry]


  8. Sébastien Piérard, Samir Azrour, and Marc Van Droogenbroeck. Design of a reliable processing pipeling for the non-intrusive measurement of feet trajectories with lasers. In International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence, Italy, pages 4399-4403, May 2014. Keyword(s): GAIMS, Feet, Multiple sclerosis. [bibtex-entry]


  9. Sébastien Piérard, R. Phan-Ba, and Marc Van Droogenbroeck. Machine learning techniques to assess the performance of a gait analysis system. In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Bruges, Belgium, pages 419-424, April 2014. Keyword(s): GAIMS, Feet, Machine learning. [bibtex-entry]


Manuals, booklets
  1. Marc Van Droogenbroeck. Analysis and Design of Telecommunications Systems. Lecture notes, University of Liège, 2014. Keyword(s): Telecommunications systems, Digital communications, Traffic engineering, FEXT/NEXT, Radio engineering, Lecture notes. [bibtex-entry]



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