Video based flame and smoke detection

The early fire detection in outdoor scenes using video sequences is one of crucial tasks of modern surveillance systems in urban and terrestrial natural environment. A conventional way of video analysis is to design a good background model and to track a motion selectively. Color, contours, fractal properties, and transparency, are considered the main spatial properties of smoke and flame in a still image or a single frame. Smoke detections algorithm steps. First, local smoke regions are detected based on motion estimation and chromatic analysis. The clustering of such local regions provides global smoke regions in a scene. At this stage, smoke and non-smoke regions are analyzed in order to exclude errors of false rejection. The suspicious region is extracted by using block-matching algorithm. Second, global regions are verified by using statistical and temporal features. In this research, smoke colored blocks and turbulence characteristics. Verification based on spatiotemporal local binary patterns...