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Publications about 'Segmentation'
Thesis
  1. B. 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]


  2. O. 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. B. Laugraud, S. Piérard, and M. 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]


  2. O. Barnich and M. 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]


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


  2. A. Cioppa, A. Deliège, M. Istasse, C. De Vlesschouwer, and M. 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. [bibtex-entry]


  3. A. Cioppa, A. Deliège, and M. 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]


  4. M. Braham, S. Piérard, and M. 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]


  5. J. Leens, S. Piérard, O. Barnich, M. Van Droogenbroeck, and J.-M. 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]


  6. S. Piérard, J. Leens, and M. 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]


  7. S. Piérard and M. 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]


  8. M. Van Droogenbroeck and H. 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]


  9. M. 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. M. Van Droogenbroeck, M. Braham, and A. 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]


  2. M. Van Droogenbroeck, M. Braham, and S. 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]


  3. M. Van Droogenbroeck, M. Braham, and S. 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. M. Van Droogenbroeck, M. Braham, and S. 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]


  5. M. Van Droogenbroeck and O. 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]


  6. M. Van Droogenbroeck and O. 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]


  7. M. Van Droogenbroeck and O. 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]


  8. M. Van Droogenbroeck and O. 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]


  9. O. 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]


  10. R. 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]


  11. P. Salembier, J. Casas, A. Gasull, F. Marqués, A. Oliveras, M. Pardàs, L. Torres, B. Marcotegui, F. Meyer, J. Serra, M. Van Droogenbroeck, P. Brigger, C. Gu, M. Kunt, L. Bouchard, C. 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: Tue Jul 14 12:42:55 2020