The University of Southampton
University of Southampton Institutional Repository

Salient Region Filtering For Background Subtraction

Rodhetbhai, Wasara and Lewis, Paul (2007) Salient Region Filtering For Background Subtraction, vol. 4781/2, Springer Berlin / Heidelberg (Lecture Notes in Computer Science, 4781/2).

Record type: Book

Abstract

The use of salient regions is an increasingly popular approach to image retrieval. For situations where object retrieval is required and where the foreground and background can be assumed to have different characteristics, it becomes useful to exclude salient regions which are characteristic of the background if they can be identified before matching is undertaken. This paper proposes a technique to enhance the performance of object retrieval by filtering out salient regions believed to be associated with the background area of the images. Salient regions from background only images are extracted and clustered using descriptors representing the salient regions. The clusters are then used in the retrieval process to identify salient regions likely to be part of the background in images containing object and background. Salient regions close to background clusters are pruned before matching and only the remaining salient regions are used in the retrieval. Experiments on object retrieval show that the use of salient region background filtering gives an improvement in performance when compared with the unfiltered method.

PDF visual07_completion.pdf - Version of Record
Download (849kB)

More information

Published date: 18 November 2007
Keywords: Background Clustering, Salient Regions, Object Retrieval
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 267648
URI: http://eprints.soton.ac.uk/id/eprint/267648
ISBN: 978-3-540-76413-7
PURE UUID: 657d39b5-3020-4b0a-9292-ef91dcd7028b

Catalogue record

Date deposited: 03 Jul 2009 15:52
Last modified: 18 Jul 2017 07:01

Export record

Contributors

Author: Wasara Rodhetbhai
Author: Paul Lewis

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×