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Publications about 'Segmentation'
Thesis
  1. Anthony Cioppa. Real-time semantics in video sequences. PhD thesis, University of Liège, Belgium, December 2020. Keyword(s): Sport, Soccer, Football, Machine learning, Deep learning, Semantics, Video understanding, Real-time, Semantic segmentation, Action spotting, Dataset, Background subtraction, Online distillation, SoccerNet, DeepSport. [bibtex-entry]


  2. 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]


  3. Olivier Barnich. Motion detection and human recognition in video sequences. PhD thesis, University of Liège, Belgium, September 2010. Keyword(s): Segmentation, Tracking, Background subtraction, Gait recognition. [bibtex-entry]


Articles in journal or book chapters
  1. Anthony Cioppa, Marc Braham, and Marc Van Droogenbroeck. Asynchronous semantic background subtraction. Journal of Imaging, 6(50):1-20, June 2020. Keyword(s): Background subtraction, Real time, Change detection, Semantic segmentation, Semantic background subtraction, CDNet 2014, DeepSport. [bibtex-entry]


  2. Benjamin Laugraud, Sébastien Piérard, and Marc Van Droogenbroeck. LaBGen-P-Semantic: A First Step for Leveraging Semantic Segmentation in Background Generation. Journal of Imaging, 4(7):86, June 2018. Keyword(s): Background generation, Background initialization, LaBGen, Semantics. [bibtex-entry]


  3. Olivier Barnich and Marc Van Droogenbroeck. ViBe: A universal background subtraction algorithm for video sequences. IEEE Transactions on Image Processing, 20(6):1709-1724, June 2011. Keyword(s): ViBe, Background, Background subtraction, Segmentation, Motion, Motion detection, Software, Source code. [bibtex-entry]


  4. Marc Van Droogenbroeck and Olivier Barnich. Design of Statistical Measures for the Assessment of Image Segmentation Schemes, volume 3691 of Lecture Notes in Computer Science, pages 280-287. Springer Verlag, Paris, September 2005. Keyword(s): Segmentation, Benchmarking. [bibtex-entry]


Conference articles
  1. Renaud Vandeghen, Anthony Cioppa, and Marc Van Droogenbroeck. Semi-Supervised Training to Improve Detection for Satellite Images. In AI4Copernicus: Earth Observation and Artificial Intelligence for a Safer World, Brussels, Belgium, May 2022. Keyword(s): Semi-supervised, Self training, Satellite, Semantic segmentation, Artificial intelligence, Machine learning, Deep learning. [bibtex-entry]


  2. Renaud Vandeghen, Anthony Cioppa, and Marc Van Droogenbroeck. Semi-Supervised Training to Improve Player and Ball Detection in Soccer. In IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports, New Orleans, Louisiana, USA, June 2022. Keyword(s): Semi-supervised, Self training, Soccer, Semantic segmentation, Artificial intelligence, Machine learning, Deep learning, TRAIL. [bibtex-entry]


  3. Anthony Cioppa, Marc Van Droogenbroeck, and Marc Braham. Real-Time Semantic Background Subtraction. In IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, pages 3214-3218, October 2020. Keyword(s): Background subtraction, Real time, Change detection, Semantic segmentation, Semantic background subtraction, DeepSport, CDNet 2014. [bibtex-entry]


  4. Anthony Cioppa, Adrien Deliège, Maxime Istasse, Christophe De Vleeschouwer, and Marc Van Droogenbroeck. ARTHuS: Adaptive Real-Time Human Segmentation in Sports through Online Distillation. In IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports, Long Beach, California, USA, pages 2505-2514, June 2019. Note: Best CVSports paper award. Keyword(s): Soccer, Semantic segmentation, Artificial intelligence, Machine learning, Deep learning, CNN, DeepSport, Best paper award. [bibtex-entry]


  5. Anthony Cioppa, Adrien Deliège, and Marc Van Droogenbroeck. A bottom-up approach based on semantics for the interpretation of the main camera stream in soccer games. In IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports, Salt Lake City, Utah, USA, pages 1846-1855, June 2018. Note: Best CVSports paper award. Keyword(s): Soccer, Semantic segmentation, Artificial intelligence, Deep learning, Machine learning, CNN, DeepSport. [bibtex-entry]


  6. Marc Braham, Sébastien Piérard, and Marc Van Droogenbroeck. Semantic Background Subtraction. In IEEE International Conference on Image Processing, Beijing, China, pages 4552-4556, September 2017. Keyword(s): Background subtraction, Change detection, Semantic segmentation, Scene labeling, Scene parsing, Classification, Machine learning, Deep learning, CDNet 2014. [bibtex-entry]


  7. J. Leens, Sébastien Piérard, Olivier Barnich, Marc Van Droogenbroeck, and Jean-Marc Wagner. Combining Color, Depth, and Motion for Video Segmentation. In Computer Vision Systems, volume 5815 of Lecture Notes in Computer Science, pages 104-113, 2009. Springer. Keyword(s): Range, 3D, Distance, ToF camera, Motion, Segmentation. [bibtex-entry]


  8. Sébastien Piérard, J\éröme Leens, and Marc Van Droogenbroeck. Real-time processing of depth and color video streams to improve the reliability of depth maps. In Proceedings of 3D Stereo MEDIA, Liège, Belgium, November 2009. Keyword(s): 3D, Depth, Range, Distance, ToF camera, Background subtraction, Motion detection, Segmentation. [bibtex-entry]


  9. Sébastien Piérard and Marc Van Droogenbroeck. Techniques to improve the foreground segmentation with a 3D camera and a color camera. In Workshop on Circuits, Systems and Signal Processing (ProRISC), Veldhoven, The Netherlands, pages 247-250, November 2009. Keyword(s): 3D, Acquisition, Range, Calibration, Foreground segmentation, Background extraction, ToF camera, Distance. [bibtex-entry]


  10. Marc Van Droogenbroeck and Hugues Talbot. Segmentation by adaptive prediction and region merging. In Digital Image Computing Techniques and Applications, Volume II, Sydney, Australia, pages 561-570, December 2003. Keyword(s): Image processing, Extrapolation, Segmentation, Texture, Prediction. [bibtex-entry]


  11. Marc Van Droogenbroeck. A methodology for image segmentation based on the spectral content of regions. In Workshop on Nonlinear Signal and Image Processing, Neos Marmaras, Greece, pages 266-269, June 1995. IEEE. Keyword(s): Image processing, Segmentation, Extrapolation, Deconvolution. [bibtex-entry]


Miscellaneous
  1. Marc Van Droogenbroeck, Marc Braham, and Sébastien Piérard. Foreground and background detection method. Chinese Patent Office, CN 109389618 B2, 18 pages, March 2022. Keyword(s): Background subtraction, Semantic segmentation, Patent, Machine learning, Deep learning, Artificial intelligence. [bibtex-entry]


  2. Marc Van Droogenbroeck, Marc Braham, and Anthony Cioppa. Foreground and background detection method. United States Patent and Trademark Office, US 10,706,558 B2, 26 pages, July 2020. Keyword(s): Background subtraction, Semantic segmentation, Patent, Machine learning, Deep learning, Artificial intelligence, DeepSport. [bibtex-entry]


  3. Marc Van Droogenbroeck, Marc Braham, and Sébastien Piérard. Foreground and background detection method. United States Patent and Trademark Office, US 10614736 B2, 16 pages, April 2020. Keyword(s): Background subtraction, Semantic segmentation, Patent, Machine learning, Deep learning, Artificial intelligence. [bibtex-entry]


  4. Marc Van Droogenbroeck, Marc Braham, and Sébastien Piérard. Foreground and background detection method. European Patent Office, EP 3438929 B2, July 2020. Keyword(s): Background subtraction, Semantic segmentation, Patent, Machine learning, Deep learning, Artificial intelligence. [bibtex-entry]


  5. Marc Van Droogenbroeck, Marc Braham, and Sébastien Piérard. Foreground and background detection method. Chinese Patent Office, CN109389618A, February 2019. Keyword(s): Background subtraction, Semantic segmentation, Patent, Machine learning, Deep learning, Artificial intelligence. [bibtex-entry]


  6. Marc Van Droogenbroeck and Olivier Barnich. Visual Background Extractor. United States Patent and Trademark Office, US 8,009,918 B2, 18 pages, August 2011. Keyword(s): ViBe, Background, Background subtraction, Video analysis, Segmentation, Motion detection, Patent. [bibtex-entry]


  7. Marc Van Droogenbroeck and Olivier Barnich. Visual background extractor. Japan Patent Office, JP 2011 4699564 B2, June 2011. Keyword(s): ViBe, Background, Background subtraction, Video analysis, Segmentation, Motion detection, Patent. [bibtex-entry]


  8. Marc Van Droogenbroeck and Olivier Barnich. Visual background extractor. European Patent Office, EP 2 015 252 B1, 36 pages, 2010. Keyword(s): ViBe, Background, Background subtraction, Video analysis, Segmentation, Motion detection, Patent. [bibtex-entry]


  9. Marc Van Droogenbroeck and Olivier Barnich. Visual background extractor. World Intellectual Property Organization, WO 2009/007198, 47 pages, January 2009. Keyword(s): ViBe, Background, Background subtraction, Video analysis, Segmentation, Motion detection, Video-surveillance. [bibtex-entry]


  10. Olivier Barnich. Détection de personnes et de visages dans une séquence vidéo. Master's thesis, University of Liège, Belgium, 2004. Keyword(s): Segmentation, Tracking. [bibtex-entry]


  11. Renaud Dardenne. Codage et segmentation d'images sur base d'une prédiction par extrapolation. Master's thesis, University of Liège, Belgium, 2003. Keyword(s): Extrapolation, Segmentation, DCT, Prediction, TFE. [bibtex-entry]


  12. Philippe Salembier, J. Casas, A. Gasull, F. Marqués, A. Oliveras, M. Pardàs, L. Torres, Beatriz Marcotegui, Fernand Meyer, Jean Serra, Marc Van Droogenbroeck, P. Brigger, C. Gu, Murat Kunt, Lionel Bouchard, Christophe Oddou, and A. Sirat. Morphological segmentation-based coding of image sequences. COST 211 ter European workshop on new techniques for coding of video signals at very low bitrates, Hannover, Germany, December 1993. Keyword(s): Morphological video coding. [bibtex-entry]



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Last modified: Wed Apr 27 18:07:49 2022