ViBe: A Disruptive Method for Background Subtraction

Background subtraction; Model; ViBe; Segmentation; Updating; Motion detection; Real time; Complexity factor; Benchmarking; Complexity analysis; Source code in C; Static b ackground; Exponential filter; Downscaled version of ViBe; Non-parametric model; Random update; Spatial diffusion; Principles

Abstract :

[en] This chapter presents ViBe and the underlying ideas of the algorithm. ViBe is an algorithm for the dection of motion by background subtraction. It is a very fast algorithm, based on samples and several innovative processes (time subsampling, random substitution, spatial diffusion, etc). In addtion, we propose a way to measure the computation time by introducing the notion of complexity factor.

Research Center/Unit :

Intelsig
Telim
Montefiore

Disciplines :

Electrical & electronics engineering

Author, co-author :

Van Droogenbroeck, Marc ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Télécommunications

Barnich, Olivier

Language :

English

Title :

ViBe: A Disruptive Method for Background Subtraction

Publication date :

July 2014

Main work title :

Background Modeling and Foreground Detection for Video Surveillance

Editor :

Bouwans

Porikli

Hoferlin

Vacavant

Publisher :

Chapman and Hall/CRC

ISBN/EAN :

9781482205374

Pages :

7.1-7.23

Peer reviewed :

Peer reviewed

Additional URL :

http://www2.ulg.ac.be/telecom/research/vibe
http://www2.ulg.ac.be/telecom/publi/publications/mvd/VanDroogenbroeck2014ViBe/

Commentary :

Please note that we provide the source code in C (optimized sequential version) for educational and research purposes only (apply for the package package vibe-sources.zip on page http://orbi.ulg.ac.be/handle/2268/145853 )

Available on ORBi :

since 15 October 2013

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Bibliography

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