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Smoke detection using time series property of texture features

We present a method of smoke detection using image sequences from a single camera on open areas under general environmental conditions. We combine several simple image processing techniques to detect smoke with texture analysis. First, moving objects are detected from gray‐scale image sequences. Then, the texture features are extracted. Finally, we determine the existence of smoke based on the time series property of those texture features. In the experiment, the performance is evaluated using real‐scene data. © 2011 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.