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Publications about 'Change detection'
Articles in journal or book chapters
  1. A. Cioppa, M. Braham, and M. 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. [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, pages 3214-3218, October 2020. Keyword(s): Background subtraction, Real time, Change detection, Semantic segmentation, Semantic background subtraction, DeepSport, CDNet 2014. [bibtex-entry]


  2. S. Piérard and M. 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. [bibtex-entry]


  3. 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]


  4. M. Braham and M. 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]


  5. M. Braham and M. 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]



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Last modified: Fri Oct 2 15:41:54 2020