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摘要:In order to discover the forest fire at the early stage, the video based fire smoke detection system should be developed. Three static features and three dynamic features are selected to recognize the fire smoke through the analysis of forest monitoring video. To solve the fusion problem of different features, a cascade classifier based on BP neutral network is designed. Each feature vector would be assigned a classifier as the first stage of the cascaded classifier. The output of the first level of the classifier used as the input of the second level of the classifier. The weight for each feature that given by the trainer is more scientific. The result of the experiments show that the cascade classifier has better performance compared to the single BP neural network.
会议名称:

2018 2nd International Conference on Artificial Intelligence Applications and Technologies (AIAAT2018)

会议时间:

2018-08-08

会议地点:

中国上海

  • 专辑:

    农业科技; 信息科技

  • 专题:

    植物保护; 林业; 计算机软件及计算机应用

  • 分类号:

    S762;TP391.41

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