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Forest fire smoke detection in video based on digital image processing approach with static and dynamic characteristic analysis
Author(s)
Surit, Surapong
Chatwiriya, Watchara
Date Issued
August 18, 2011
Type
Conference Paper
Abstract
In this paper, propose a method for forest fire smoke detection in video based on digital image processing approach with static and dynamic characteristic analysis. The proposed method is composed of four steps. The first step is to detect the area of change in the current input frame against the background image. Second step is to locate regions of interest (ROIs) by connected component algorithm, calculate area of ROI by convexhull algorithm and segment the area of change from image. Third step is to analysis and calculate static and dynamic characteristic. Finally, we decide whether the objects that have changed in that picture is the smoke or not. The experimental result with simulated forest fire smoke and the moving object video show that our method effectively and accuracy detect fire smoke. © 2011 IEEE.
Citation
Proceedings 1st Acis Jnu International Conference on Computers Networks Systems and Industrial Engineering Cnsi 2011, 35-39, 2011