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Benjamin Laugraud - Publications ORBI
Laugraud, B., & Van Droogenbroeck, M. (2017). Is a Memoryless Motion Detection Truly Relevant for Background Generation with LaBGen? Advanced Concepts for Intelligent Vision Systems.
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 ...