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Marc Braham - Publications ORBI
Braham, M., Pierard, S., & Van Droogenbroeck, M. (2017). Semantic Background Subtraction. IEEE International Conference on Image Processing (ICIP), Beijing 17-20 September 2017 (pp. 4552-4556). IEEE.
Peer reviewed
We introduce the notion of semantic background subtraction, a novel framework for motion detection in video sequences. The key innovation consists to leverage object-level semantics to address the variety of ...
Braham, M., & Van Droogenbroeck, M. (2016). Deep Background Subtraction with Scene-Specific Convolutional Neural Networks. IEEE International Conference on Systems, Signals and Image Processing (IWSSIP), Bratislava 23-25 May 2016 (pp. 1-4). IEEE.
Peer reviewed
Background subtraction is usually based on low-level or hand-crafted features such as raw color components, gradients, or local binary patterns. As an improvement, we present a background subtraction algorithm ...
Braham, M., & Van Droogenbroeck, M. (2015). A Generic Feature Selection Method for Background Subtraction Using Global Foreground Models. Advanced Concepts for Intelligent Vision Systems (ACIVS), Catania 26-29 October 2015 (pp. 717-728). Springer.
Peer reviewed
Over the last few years, a wide variety of background subtraction algorithms have been proposed for the detection of moving objects in videos acquired with a static camera. While much effort have been devoted ...
Laugraud, B., Pierard, S., Braham, M., & Van Droogenbroeck, M. (2015). Simple Median-Based Method for Stationary Background Generation Using Background Subtraction Algorithms. New Trends in Image Analysis and Processing - ICIAP 2015 Workshops (pp. 477-484). Springer.
Peer reviewed
The estimation of the background image from a video sequence is necessary in some applications. Computing the median for each pixel over time is effective, but it fails when the background is visible for less ...
Braham, M., Lejeune, A., & Van Droogenbroeck, M. (2014). A physically motivated pixel-based model for background subtraction in 3D images. IEEE International Conference on 3D Imaging (IC3D), Liège 9-10 December 2014. Institute of Electrical and Electronics Engineers (IEEE).
Peer reviewed
This paper proposes a new pixel-based background subtraction technique, applicable to range images, to detect motion. Our method exploits the physical meaning of depth information, which leads to an improved ...