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http://dx.doi.org/10.5392/JKCA.2012.12.02.010

Reliable Smoke Detection using Static and Dynamic Textures of Smoke Images  

Kim, Jae-Min (홍익대학교 전자전기공학부)
Publication Information
The Journal of the Korea Contents Association / v.12, no.2, 2012 , pp. 10-18 More about this Journal
Abstract
Automatic smoke detection systems using a surveillance camera requires a reliable smoke detection method. When an image sequence is captured from smoke spreading over in the air, not only has each smoke image frame a special texture, called static texture, but the difference between two smoke image frames also has a peculiar texture, called dynamic texture. Even though an object has a static texture similar to that of the smoke, its dynamic texture cannot be similar to that of the smoke if its movement differs from the diffraction action of the smoke. This paper presents a reliable smoke detection method using these two textures. The proposed method first detects change regions using accumulated frame difference, and then picks out smoke regions using Haralick features extracted from two textures.
Keywords
Smoke Detection; Temporal Features; Spatial Features; Texture; Haralick Features;
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