Mohd Razmi, S. and Saad, N. and Asirvadam, V.S. (2010) Vision-based flame analysis using motion and Edge Detection. In: UNSPECIFIED.
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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....
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.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Additional Information: | 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 |
Uncontrolled 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 |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 15:49 |
Last Modified: | 09 Nov 2023 15:49 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/919 |