Vision-based flame analysis using motion and Edge Detection

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 amp; shape features can be achieved by using Background Subtraction and Edge Detection approach.