Blstm based night-time wildfire detection from video

HIGHLIGHTS

• who: Ahmet K. Agirman and Kasim Tasdemir from the Electrical and Computer Engineering, Abdullah Guu0308l University, Kayseri, Turkey, Computer Engineering have published the research: BLSTM based night-time wildfire detection from video, in the Journal: PLOS ONE of August/24,/2021
• what: This work proposes a two-stage approach combining spatial and temporal information of an object appearing in a night-time video. The authors implement transfer learning with the GoogLeNet network that is pre-trained on ImageNet. The dataset contains night-fire videos collected from a number of public online video services for VFD . . .
  

   

  

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