[en] In this chapter, we provide an overview of the most highly cited motion detection meth-
ods. We identify the most commonly used background models together with their features,
the kind of updating scheme they use, some spatial aggregation models as well as the most
widely used post-processing operations. We also provide an overview of datasets used to
validate motion detection methods. Please note that this literature review is by no means
exhaustive and thus we provide a list of surveys that the reader can rely on for further
details.
Research center :
Intelsig; Telim
Disciplines :
Electrical & electronics engineering
Author, co-author :
Jodoin, Pierre-Marc
Pierard, Sébastien ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Télécommunications
Wang, Yi
Van Droogenbroeck, Marc ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Télécommunications
Language :
English
Title :
Overview and Benchmarking of Motion Detection Methods
Publication date :
July 2014
Main work title :
Background Modeling and Foreground Detection for Video Surveillance