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METHOD OF DETECTING SMOKE OF FOREST FIRE USING SPATIOTEMPORAL BOF OF SMOKE AND RANDOM FOREST

机译:烟气时空BOF与随机森林的森林火灾烟雾检测方法

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.
机译:提供了一种使用烟雾和随机森林的时空特征包(BoF)来检测森林火灾烟雾的方法。在该方法中,每当输入视频序列的每个帧时,都检测到输入帧与前一帧之间的差异,并且如果该差异超过预定的第一阈值,则将该输入帧设置为关键帧。在设置的关键帧中检测到一个或多个移动块。使用烟雾颜色模型从运动块中提取一个或多个候选烟雾块。 BoF表示从检测到的候选烟雾块生成。通过对生成的BoF表示执行随机森林学习来确定候选烟雾块中的烟雾是否为实际烟雾。

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