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- W2357516523 abstract "This paper presents a new method for fire detection in digital image sequences.Firstly,the suspicious fire-region is located by the intensity information of each image,and then the features constituted by intensity-variation and fire area-variation of each pixel in the suspicious fire-region are obtained.Meanwhile,a new spectrum feature is proposed to eliminate the disturbance from the regular flickering light source.Next,the categorizer is designed in Gentle Boosting algorithm,which accomplishes the work of optimal feature selection in the same time of training.With this algorithm,the characteristic space can be effectively diminished and the features can be well classified.Finally,through experiment,the recognizing results in different environments and the locating results of a weak fire show that the method has a high accuracy as well as an economical computing time." @default.
- W2357516523 created "2016-06-24" @default.
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- W2357516523 date "2010-01-01" @default.
- W2357516523 modified "2023-09-27" @default.
- W2357516523 title "Fire recognition with Boosting" @default.
- W2357516523 hasPublicationYear "2010" @default.
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