[IPOL announce] new article: Reviewing ViBe, a Popular Background Subtraction Algorithm for Real-Time Applications

[announcements about the IPOL journal]

A new article is available in IPOL: http://www.ipol.im/pub/art/2022/434/

Xavier Bou, Thibaud Ehret, Gabriele Facciolo, Jean-Michel Morel, and 
Rafael Grompone von Gioi,
Reviewing ViBe, a Popular Background Subtraction Algorithm for Real-Time 
Applications,
Image Processing On Line, 12 (2022), pp. 527–549.
https://doi.org/10.5201/ipol.2022.434

Abstract
Background subtraction or foreground segmentation is commonly the first 
step in video processing pipelines, where foreground objects and moving 
entities are detected for further analysis. Background subtraction is 
still an open problem in computer vision due to the wide range of 
possible scenarios and challenging cases, such as weather conditions, 
illumination variation, dynamic backgrounds or low frame-rates. In this 
article, we review a well-known general algorithm for background 
subtraction named visual background extractor or ViBe. More than 10 
years after its publication, ViBe is still widely used due to its 
simplicity and low computational load, as its authors claim it can 
process up to 200 fps. We analyze the algorithm's mechanism to segment 
foreground objects, comment on its strengths and drawbacks, and describe 
an effective variant of the method to quickly dissipate ghost effects 
using 3-frame difference. Furthermore, we provide an easy-to-use demo 
that allows to quickly test the performance of ViBe on custom data, 
modify its parameters and download the results.