The University of Southampton
University of Southampton Institutional Repository

Segmentation of moving object for content based applications

Segmentation of moving object for content based applications
Segmentation of moving object for content based applications

This paper presents an edge segment based moving object segmentation algorithm independent of background model. The proposed method detects moving edges using three most recent frames where moving regions are extracted by employing a watershed based algorithm. Extracted moving segments help to ensure good visual quality even in limited bit rate multimedia communications by incorporating priority basedtransmission.

0747-668X
IEEE
Dewan, M. Ali Akber
363af584-4a43-4a28-8f3c-25b78fbd5360
Hossain, M. Julius
bba1b875-7604-462b-a55b-ba0b54f728e8
Chae, Oksam
f3b49af7-329a-4eed-bcd1-33aa737cd234
Dewan, M. Ali Akber
363af584-4a43-4a28-8f3c-25b78fbd5360
Hossain, M. Julius
bba1b875-7604-462b-a55b-ba0b54f728e8
Chae, Oksam
f3b49af7-329a-4eed-bcd1-33aa737cd234

Dewan, M. Ali Akber, Hossain, M. Julius and Chae, Oksam (2009) Segmentation of moving object for content based applications. In 2009 Digest of Technical Papers International Conference on Consumer Electronics, ICCE 2009. IEEE.. (doi:10.1109/ICCE.2009.5012349).

Record type: Conference or Workshop Item (Paper)

Abstract

This paper presents an edge segment based moving object segmentation algorithm independent of background model. The proposed method detects moving edges using three most recent frames where moving regions are extracted by employing a watershed based algorithm. Extracted moving segments help to ensure good visual quality even in limited bit rate multimedia communications by incorporating priority basedtransmission.

This record has no associated files available for download.

More information

Published date: 2009
Venue - Dates: 2009 International Conference on Consumer Electronics, ICCE 2009, , Las Vegas, NV, United States, 2009-01-10 - 2009-01-14

Identifiers

Local EPrints ID: 469735
URI: http://eprints.soton.ac.uk/id/eprint/469735
ISSN: 0747-668X
PURE UUID: 5620cfce-687c-495b-bb58-0a5a03ae7356
ORCID for M. Julius Hossain: ORCID iD orcid.org/0000-0003-3303-5755

Catalogue record

Date deposited: 23 Sep 2022 16:34
Last modified: 17 Mar 2024 04:12

Export record

Altmetrics

Contributors

Author: M. Ali Akber Dewan
Author: M. Julius Hossain ORCID iD
Author: Oksam Chae

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.

×