eprintid: 919
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/09/19
datestamp: 2023-11-09 15:49:04
lastmod: 2023-11-09 15:49:04
status_changed: 2023-11-09 15:38:42
type: conference_item
metadata_visibility: show
creators_name: Mohd Razmi, S.
creators_name: Saad, N.
creators_name: Asirvadam, V.S.
title: Vision-based flame analysis using motion and Edge Detection
ispublished: pub
keywords: Background subtraction; Detection approach; Financial loss; Flame detection; Flame detection algorithm; Identification; Image edge analysis; Image motion analysis; Process model; Shape features; System identifications; Video processing; Vision based, Algorithms; Edge detection; Fires; Imaging systems; Industrial research; Losses, Image processing
note: cited By 15; Conference of 2010 International Conference on Intelligent and Advanced Systems, ICIAS 2010 ; Conference Date: 15 June 2010 Through 17 June 2010; Conference Code:84196
abstract: Fire can lead to major financial losses to industries. Consequently, it is very crucial to develop a reliable method to detect an occurrence of fire. In this research, the algorithms for flame detection using video processing will be proposed. System identification will be used to obtain a process model of the flame. This paper stresses on the flame detection algorithm. The results show that detection of flame using motion & shape features can be achieved by using Background Subtraction and Edge Detection approach.
date: 2010
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-79952763455&doi=10.1109%2fICIAS.2010.5716222&partnerID=40&md5=87b7e8c77f2861be4096e30b462f3c5a
id_number: 10.1109/ICIAS.2010.5716222
full_text_status: none
publication: 2010 International Conference on Intelligent and Advanced Systems, ICIAS 2010
place_of_pub: Kuala Lumpur
refereed: TRUE
isbn: 9781424466238
citation:   Mohd Razmi, S. and Saad, N. and Asirvadam, V.S.  (2010) Vision-based flame analysis using motion and Edge Detection.  In: UNSPECIFIED.