Vision-based flame analysis using motion and Edge Detection

Author

Razmi, Suzilawati Mohd ; Saad, Nordin ; Asirvadam, Vijanth Sagayan

Author_Institution

Dept. of Electr. & Electron. Eng., Univ. Teknol. PETRONAS, Tronoh, Malaysia

fYear

2010

fDate

15-17 June 2010

Firstpage

1

Lastpage

4

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.

Keywords

computer vision; edge detection; feature extraction; fires; flames; motion estimation; background subtraction approach; edge detection; features detection; fire; flame analysis; flame detection; motion detection; video processing; Fires; Image color analysis; Image edge detection; Mathematical model; Motion detection; Shape; System identification; Fires; Identification; Image Edge Analysis; Image Motion Analysis; Image Processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent and Advanced Systems (ICIAS), 2010 International Conference on

Conference_Location

Kuala Lumpur, Malaysia

Print_ISBN

978-1-4244-6623-8

Type

conf

DOI

10.1109/ICIAS.2010.5716222

Filename

5716222