Temporal and non-temporal contextual saliency analysis for generalized wide-area search within unmanned aerial vehicle (uav) video

HIGHLIGHTS

• who: Simon G. E. Gökstorp from the Department of Computer Science, Durham University, Durham, UK have published the research work: Temporal and non-temporal contextual saliency analysis for generalized wide-area search within unmanned aerial vehicle (UAV) video, in the Journal: (JOURNAL)
• what: To solve this problem the authors propose a deep model architecture using a visual saliency approach to automatically analyse and detect anomalies in UAV video. Within this work the authors detail novel additions to the baseline DSCLRCN architecture proposed by_[5], and additionally explore the use of temporal vs. non-temporal . . .
  

   

  

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