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Publications about 'Background subtraction'
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. Sébastien Piérard, Marc Braham, and Marc Van Droogenbroeck. An exploration of the performances achievable by combining unsupervised background subtraction algorithms. ArXiv, abs/2202.12563, February 2022. Keyword(s): Background subtraction, Combination, Majority vote, BKS, Evaluation, Performance, Summarization, Change detection, Classification performance, CDNet 2014, ARIAC. [bibtex-entry]


  2. 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]


  3. Benjamin Laugraud, Sébastien Piérard, and Marc Van Droogenbroeck. LaBGen: A Method Based on Motion Detection for Generating the Background of a Scene. Pattern Recognition Letters, 96:12-21, 2017. Keyword(s): LaBGen, Background initialization, Background generation, Background subtraction, SBMI dataset, SBMC contest. [bibtex-entry]


  4. P.-M. Jodoin, S. Piérard, Y. Wang, and M. 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]


  5. 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]


  6. 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]


  7. Alexandre Borghgraef, Olivier Barnich, Fabian Lapierre, Marc Van Droogenbroeck, Wilfried Philips, and Marc Acheroy. An evaluation of pixel-based methods for the detection of floating objects on the sea surface. EURASIP Journal on Advances in Signal Processing, 2010:11 pages, 2010. Keyword(s): Sea, Object detection, Motion detection, Background subtraction, Background, ViBe. [bibtex-entry]


Conference articles
  1. 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]


  2. Sébastien Piérard and Marc Van Droogenbroeck. Summarizing the performances of a background subtraction algorithm measured on several videos. In IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, pages 3234-3238, October 2020. Keyword(s): Background subtraction, Evaluation, Performance, Summarization, Change detection, Classification performance, CDNet 2014, DeepSport. [bibtex-entry]


  3. 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]


  4. Benjamin Laugraud and Marc Van Droogenbroeck. Is a Memoryless Motion Detection Truly Relevant for Background Generation with LaBGen?. In Advanced Concepts for Intelligent Vision Systems (ACIVS), volume 10617 of Lecture Notes in Computer Science, pages 443-454, 2017. Keyword(s): Background generation, Background initialization, Background subtraction, Optical flow, Motion detection, Median filter, SBI dataset, SBMnet dataset, LaBGen, LaBGen-OF. [bibtex-entry]


  5. Marc Braham and Marc Van Droogenbroeck. Deep Background Subtraction with Scene-Specific Convolutional Neural Networks. In International Conference on Systems, Signals and Image Processing (IWSSIP), Bratislava, Slovakia, pages 1-4, May 2016. Keyword(s): Background subtraction, Deep learning, Machine learning, CDNet, Change detection, CDNet 2014. [bibtex-entry]


  6. Marc Braham and Marc Van Droogenbroeck. A generic feature selection method for background subtraction using global foreground models. In Advanced Concepts for Intelligent Vision Systems (ACIVS), volume 9386 of Lecture Notes in Computer Science, pages 717-728, 2015. Keyword(s): Background subtraction, Feature selection, Foreground model, Change detection, ViBe. [bibtex-entry]


  7. Benjamin Laugraud, Sébastien Piérard, Marc Braham, and Marc Van Droogenbroeck. Simple median-based method for stationary background generation using background subtraction algorithms. 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 477-484, 2015. Note: Source code in C++ available. Keyword(s): Background subtraction, Background image, Source code. [bibtex-entry]


  8. Benjamin Laugraud, Sébastien Piérard, and Marc Van Droogenbroeck. Time ordering shuffling for improving background subtraction. In Advanced Concepts for Intelligent Vision Systems (ACIVS), volume 9386 of Lecture Notes in Computer Science, pages 58-69, 2015. Keyword(s): Background subtraction, Time ordering, Time shuffling. [bibtex-entry]


  9. 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]


  10. 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]


  11. 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]


  12. Marc Van Droogenbroeck and Olivier Paquot. Background Subtraction: Experiments and Improvements for ViBe. In Change Detection Workshop (CDW), in conjunction with CVPR, Providence, Rhode Island, pages 32-37, June 2012. Keyword(s): ViBe, Video, Background subtraction, Background modelling, Motion detection. [bibtex-entry]


  13. Sébastien Piérard, Antoine Lejeune, and Marc Van Droogenbroeck. A probabilistic pixel-based approach to detect humans in video streams. In International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Prague, Czech Republic, pages 921-924, May 2011. Keyword(s): Human, Detection, Silhouette, Background subtraction. [bibtex-entry]


  14. Olivier Barnich and Marc Van Droogenbroeck. Design of a morphological moving object signature and application to human identification. In International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2009), pages 853-856, April 2009. Keyword(s): Video, Gait recognition, Mathematical morphology, Background subtraction. [bibtex-entry]


  15. Olivier Barnich and Marc Van Droogenbroeck. ViBe: a powerful random technique to estimate the background in video sequences. In International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2009), pages 945-948, April 2009. Note: PDF available on the University site or at the IEEE. Keyword(s): ViBe, Video, Background subtraction, Background modelling, Motion detection. [bibtex-entry]


  16. 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]


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. European Patent Office, EP 3438929 B2, July 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. 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]


  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. La détection de mouvement dans une vidéo: histoire d'une technologie et d'un brevet. Oral presentation, 23 pages, Liège Creative, Liège, Belgium, May 2012. Keyword(s): ViBe, Background, Background subtraction, Inpainting, Deblur, Motion, Motion detection. [bibtex-entry]


  7. 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]


  8. 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]


  9. 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]


  10. 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]



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Last modified: Wed Jun 22 04:02:32 2022