Detekce kouře v obrazech
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Vysoká škola báňská - Technická univerzita Ostrava
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Abstract
The aim of this bachelor thesis is to analyze the image from a static camera and to subsequently process and to find areas containing smoke. The first step is background extraction using the Mixture of Gaussians. The background is updated many times during the application is running. The difference between the current frame and the applied threshold is the areas that are changing in the movie. Smoke detection from these areas is done by comparing each color component and controlling motion and changing the contour sizes of the areas where smoke might be present.
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smoke, detection, Mixture of Gaussians, MOG, color model, HSV, HSL, RGB, YUV