Forest Fire Smoke Detection in Video Based on Digital Image Processing Approach with Static and Dynamic Characteristic Analysis

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.