An Experimental Evaluation of Foreground Detection Algorithms in Real Scenes

<p/> <p>Foreground detection is an important preliminary step of many video analysis systems. Many algorithms have been proposed in the last years, but there is not yet a consensus on which approach is the most effective, not even limiting the problem to a single category of videos. This...

Full description

Bibliographic Details
Main Authors: Conte Donatello, Foggia Pasquale, Percannella Gennaro, Tufano Francesco, Vento Mario
Format: Article
Language:English
Published: SpringerOpen 2010-01-01
Series:EURASIP Journal on Advances in Signal Processing
Online Access:http://asp.eurasipjournals.com/content/2010/373941
_version_ 1828752573967892480
author Conte Donatello
Foggia Pasquale
Percannella Gennaro
Tufano Francesco
Vento Mario
author_facet Conte Donatello
Foggia Pasquale
Percannella Gennaro
Tufano Francesco
Vento Mario
author_sort Conte Donatello
collection DOAJ
description <p/> <p>Foreground detection is an important preliminary step of many video analysis systems. Many algorithms have been proposed in the last years, but there is not yet a consensus on which approach is the most effective, not even limiting the problem to a single category of videos. This paper aims at constituting a first step towards a reliable assessment of the most commonly used approaches. In particular, four notable algorithms that perform foreground detection have been evaluated using quantitative measures to assess their relative merits and demerits. The evaluation has been carried out using a large, publicly available dataset composed by videos representing different realistic applicative scenarios. The obtained performance is presented and discussed, highlighting the conditions under which algorithm can represent the most effective solution.</p>
first_indexed 2024-12-10T21:10:54Z
format Article
id doaj.art-5b851119c96f41139181de6139a86a6d
institution Directory Open Access Journal
issn 1687-6172
1687-6180
language English
last_indexed 2024-12-10T21:10:54Z
publishDate 2010-01-01
publisher SpringerOpen
record_format Article
series EURASIP Journal on Advances in Signal Processing
spelling doaj.art-5b851119c96f41139181de6139a86a6d2022-12-22T01:33:28ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802010-01-0120101373941An Experimental Evaluation of Foreground Detection Algorithms in Real ScenesConte DonatelloFoggia PasqualePercannella GennaroTufano FrancescoVento Mario<p/> <p>Foreground detection is an important preliminary step of many video analysis systems. Many algorithms have been proposed in the last years, but there is not yet a consensus on which approach is the most effective, not even limiting the problem to a single category of videos. This paper aims at constituting a first step towards a reliable assessment of the most commonly used approaches. In particular, four notable algorithms that perform foreground detection have been evaluated using quantitative measures to assess their relative merits and demerits. The evaluation has been carried out using a large, publicly available dataset composed by videos representing different realistic applicative scenarios. The obtained performance is presented and discussed, highlighting the conditions under which algorithm can represent the most effective solution.</p>http://asp.eurasipjournals.com/content/2010/373941
spellingShingle Conte Donatello
Foggia Pasquale
Percannella Gennaro
Tufano Francesco
Vento Mario
An Experimental Evaluation of Foreground Detection Algorithms in Real Scenes
EURASIP Journal on Advances in Signal Processing
title An Experimental Evaluation of Foreground Detection Algorithms in Real Scenes
title_full An Experimental Evaluation of Foreground Detection Algorithms in Real Scenes
title_fullStr An Experimental Evaluation of Foreground Detection Algorithms in Real Scenes
title_full_unstemmed An Experimental Evaluation of Foreground Detection Algorithms in Real Scenes
title_short An Experimental Evaluation of Foreground Detection Algorithms in Real Scenes
title_sort experimental evaluation of foreground detection algorithms in real scenes
url http://asp.eurasipjournals.com/content/2010/373941
work_keys_str_mv AT contedonatello anexperimentalevaluationofforegrounddetectionalgorithmsinrealscenes
AT foggiapasquale anexperimentalevaluationofforegrounddetectionalgorithmsinrealscenes
AT percannellagennaro anexperimentalevaluationofforegrounddetectionalgorithmsinrealscenes
AT tufanofrancesco anexperimentalevaluationofforegrounddetectionalgorithmsinrealscenes
AT ventomario anexperimentalevaluationofforegrounddetectionalgorithmsinrealscenes
AT contedonatello experimentalevaluationofforegrounddetectionalgorithmsinrealscenes
AT foggiapasquale experimentalevaluationofforegrounddetectionalgorithmsinrealscenes
AT percannellagennaro experimentalevaluationofforegrounddetectionalgorithmsinrealscenes
AT tufanofrancesco experimentalevaluationofforegrounddetectionalgorithmsinrealscenes
AT ventomario experimentalevaluationofforegrounddetectionalgorithmsinrealscenes