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Benjamin Laugraud - Publications ORBI
Laugraud, B., Pierard, S., & Van Droogenbroeck, M. (2018). LaBGen-P-Semantic: A First Step for Leveraging Semantic Segmentation in Background Generation. Journal of Imaging, 4(7), 86.
Peer reviewed (verified by ORBi)
Given a video sequence acquired from a fixed camera, the stationary background generation problem consists of generating a unique image estimating the stationary background of the sequence. During the IEEE ...
Bouwmans, T., & Laugraud, B. (2018, April 03). Tutorial on Evaluation of Background Subtraction Algorithms. Paper presented at IEEE International Conference on Intelligent Systems and Computer Vision (ISCV 2018), Fez, Morocco.
The tutorial focused on the BGSLibrary (https://github.com/andrewssobral/bgslibrary) and the CDnet 2014 dataset (http://www.changedetection.net), and answered three questions: how to install the BGSLibrary ...
Laugraud, B. (2018, April 03). An Overview of Background Initialization and LaBGen. Paper presented at IEEE International Conference on Intelligent Systems and Computer Vision (ISCV 2018), Fez, Morocco.
Given a video sequence captured from a static viewpoint, the stationary background initialization problem consists in generating a unique image estimating the stationary background of the sequence (i.e. the ...
Laugraud, B., & Van Droogenbroeck, M. (2017). Is a Memoryless Motion Detection Truly Relevant for Background Generation with LaBGen? Advanced Concepts for Intelligent Vision Systems (pp. 443-454).
Peer reviewed
The stationary background generation problem consists in generating a unique image representing the stationary background of a given video sequence. The LaBGen background generation method combines a pixel ...
Laugraud, B., Pierard, S., & Van Droogenbroeck, M. (2017). LaBGen: A method based on motion detection for generating the background of a scene. Pattern Recognition Letters, 96, 12-21.
Peer reviewed (verified by ORBi)
Given a video sequence acquired with a fixed camera, the generation of the stationary background of the scene is a challenging problem which aims at computing a reference image for a motionless background. For ...
Laugraud, B., Pierard, S., & Van Droogenbroeck, M. (2016). LaBGen-P: A Pixel-Level Stationary Background Generation Method Based on LaBGen. 2016 International Conference on Pattern Recognition Contest Proceedings (pp. 107-113). IEEE.
Peer reviewed
Estimating the stationary background of a video sequence is useful in many applications like surveillance, segmentation, compression, inpainting, privacy protection, and computational photography. To perform ...
Laugraud, B., Latour, P., & Van Droogenbroeck, M. (2015). Time Ordering Shuffling for Improving Background Subtraction. Advanced Concepts for Intelligent Vision Systems (pp. 58-69). Springer.
Peer reviewed
By construction, a video is a series of ordered frames, whose order is defined at the time of the acquisition process. Background subtraction methods then take this input video and produce a series of ...
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 ...