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...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
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SpringerOpen
2010-01-01
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Series: | EURASIP Journal on Advances in Signal Processing |
Online Access: | http://asp.eurasipjournals.com/content/2010/373941 |
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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 |
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