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METHOD OF DETECTING SMOKE OF FOREST FIRE USING SPATIOTEMPORAL BOF OF SMOKE AND RANDOM FOREST
METHOD OF DETECTING SMOKE OF FOREST FIRE USING SPATIOTEMPORAL BOF OF SMOKE AND RANDOM FOREST
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机译:烟气时空BOF与随机森林的森林火灾烟雾检测方法
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摘要
A method of detecting the smoke of a forest fire using the spatiotemporal Bag-of-Features (BoF) of the smoke and a random forest is provided. In the method, whenever each frame of a video sequence is input, a difference between the input frame and a previous frame is detected, and the input frame is set as a key frame if the difference exceeds a predetermined first threshold value. One or more moving blocks are detected in the set key frame. One or more candidate smoke blocks are extracted from the moving blocks using a smoke color model. BoF representations are generated from the detected candidate smoke blocks. Whether smoke of the candidate smoke blocks is actual smoke is determined by performing random forest learning on the generated BoF representation.
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