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Braham Marc

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Main Referenced Co-authors
Van Droogenbroeck, Marc  (12)
Pierard, Sébastien  (7)
Cioppa, Anthony  (3)
Laugraud, Benjamin  (1)
Lejeune, Antoine  (1)
Main Referenced Keywords
Background subtraction (11); Semantic segmentation (8); Change detection (4); Real time (3); ViBe (3);
Main Referenced Unit & Research Centers
Telim (8)
Montefiore Institute - Montefiore Institute of Electrical Engineering and Computer Science - ULiège [BE] (7)
Department of Electrical Engineering and Computer Science (Montefiore Institute), Signal and Image Exploitation (INTELSIG) (2)
Department of Electrical Engineering and Computer Science (Montefiore Institute) (1)
Intelsig (1)
Main Referenced Disciplines
Electrical & electronics engineering (10)
Computer science (4)

Publications (total 13)

The most downloaded
7962 downloads
Braham, M., & Van Droogenbroeck, M. (2016). Deep Background Subtraction with Scene-Specific Convolutional Neural Networks. In IEEE International Conference on Systems, Signals and Image Processing (IWSSIP), Bratislava 23-25 May 2016 (pp. 1-4). IEEE. doi:10.1109/IWSSIP.2016.7502717 https://hdl.handle.net/2268/195180

The most cited

251 citations (Scopus®)

Braham, M., & Van Droogenbroeck, M. (2016). Deep Background Subtraction with Scene-Specific Convolutional Neural Networks. In IEEE International Conference on Systems, Signals and Image Processing (IWSSIP), Bratislava 23-25 May 2016 (pp. 1-4). IEEE. doi:10.1109/IWSSIP.2016.7502717 https://hdl.handle.net/2268/195180

Braham, M., & Pierard, S. (01 March 2022). Foreground and background detection method.

Pierard, S., Braham, M., & Van Droogenbroeck, M. (2022). An exploration of the performances achievable by combining unsupervised background subtraction algorithms. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/288482. doi:10.48550/arXiv.2202.12563

Cioppa, A., Van Droogenbroeck, M., & Braham, M. (2020). Real-Time Semantic Background Subtraction. In Proceedings of the IEEE International Conference on Image Processing (ICIP) (pp. 3214-3218). doi:10.1109/ICIP40778.2020.9190838
Peer reviewed

Van Droogenbroeck, M., Braham, M., & Pierard, S. (08 July 2020). Foreground and background detection method.

Van Droogenbroeck, M., Braham, M., & Cioppa, A. (07 July 2020). Foreground and background detection method.

Cioppa, A., Braham, M., & Van Droogenbroeck, M. (18 June 2020). Asynchronous Semantic Background Subtraction. Journal of Imaging, 6 (20), 1-20. doi:10.3390/jimaging6060050
Peer Reviewed verified by ORBi

Van Droogenbroeck, M., Braham, M., & Pierard, S. (07 April 2020). Foreground and background detection method.

Van Droogenbroeck, M., Braham, M., & Pierard, S. (February 2019). Foreground and background detection method.

Braham, M., Pierard, S., & Van Droogenbroeck, M. (2017). Semantic Background Subtraction. In IEEE International Conference on Image Processing (ICIP), Beijing 17-20 September 2017 (pp. 4552-4556). IEEE. doi:10.1109/ICIP.2017.8297144
Peer reviewed

Braham, M., & Van Droogenbroeck, M. (2016). Deep Background Subtraction with Scene-Specific Convolutional Neural Networks. In IEEE International Conference on Systems, Signals and Image Processing (IWSSIP), Bratislava 23-25 May 2016 (pp. 1-4). IEEE. doi:10.1109/IWSSIP.2016.7502717
Peer reviewed

Braham, M., & Van Droogenbroeck, M. (2015). A Generic Feature Selection Method for Background Subtraction Using Global Foreground Models. In Advanced Concepts for Intelligent Vision Systems (ACIVS), Catania 26-29 October 2015 (pp. 717-728). Springer. doi:10.1007/978-3-319-25903-1_62
Peer reviewed

Laugraud, B., Pierard, S., Braham, M., & Van Droogenbroeck, M. (2015). Simple Median-Based Method for Stationary Background Generation Using Background Subtraction Algorithms. In New Trends in Image Analysis and Processing - ICIAP 2015 Workshops (pp. 477-484). Springer. doi:10.1007/978-3-319-23222-5_58
Peer reviewed

Braham, M., Lejeune, A., & Van Droogenbroeck, M. (2014). A physically motivated pixel-based model for background subtraction in 3D images. In IEEE International Conference on 3D Imaging (IC3D), Liège 9-10 December 2014. Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IC3D.2014.7032591
Peer reviewed

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