TY  - CONF
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-79952763455&doi=10.1109%2fICIAS.2010.5716222&partnerID=40&md5=87b7e8c77f2861be4096e30b462f3c5a
CY  - Kuala Lumpur
AV  - none
N2  - 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.
KW  - 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
KW  -  Algorithms; Edge detection; Fires; Imaging systems; Industrial research; Losses
KW  -  Image processing
N1  - 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
SN  - 9781424466238
TI  - Vision-based flame analysis using motion and Edge Detection
ID  - scholars919
A1  - Mohd Razmi, S.
A1  - Saad, N.
A1  - Asirvadam, V.S.
Y1  - 2010///
ER  -