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Benjamin Laugraud

Benjamin Laugraud
University of Liège | ulg · Department of Electrical Engineering and Computer Science - Montefiore Institute

PhD Degree in Science (Computer Science orientation)

About

9
Publications
3,465
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140
Citations

Publications

Publications (9)
Thesis
Full-text and slides available here: http://hdl.handle.net/2268/242075. Given an input video sequence, whose frames depict the same scene at different times, the background estimation problem consists in generating a model of the scene background, free of the foreground elements occluding it. In this thesis, we are interested in a unimodal variant...
Article
Full-text available
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 that purpose, we developed our method named LaBGen, which emerged as the best one during the Scene Background Modeling and Initialization (S...
Conference Paper
Full-text available
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 this task, we introduce the LaBGen-P method based on the principles of LaBGen and the conclusions drawn in the corresponding paper. It combine...
Conference Paper
Full-text available
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-wise median filter and a patch selection mechanism based on a motion detection performed by a background subtraction algorithm. In our previous...
Article
Full-text available
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 Scene Background Modeling Contest (SBMC) organized in 2016, we presented the LaBGen-P method. In short, this method relies on a motion detection...
Presentation
Full-text available
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 set of elements which are motionless throughout the sequence). Generating an estimation of the background is helpful, and sometimes crucial for...
Conference Paper
Full-text available
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 segmentation maps expressed in terms of foreground objects and scene background. To our knowledge, this natural ordering of frames has never been que...
Conference Paper
Full-text available
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 than half of the time. In this paper, we propose a new method leveraging the segmentation performed by a background subtraction algorithm, wh...

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Projects

Project (1)
Project
The purpose is to develop better algorithms for motion detection by background subtraction. This project also gives an overview of our work on background initialization (also called "Background generation") that consists to find a reference image for the background of a scene