Auto-learning correlation-filter-based target state estimation for real-time uav tracking

HIGHLIGHTS

• who: Ziyang Bian and collaborators from the Beijing, China have published the Article: Auto-Learning Correlation-Filter-Based Target State Estimation for Real-Time UAV Tracking, in the Journal: (JOURNAL)
• what: To mitigate this the authors propose a novel auto-learning correlation filter for UAV tracking which fully exploits valuable information behind response maps for adaptive feedback updating. Based on the TSE, the authors propose a novel auto-learning strategy that automatically derives a rapid and optimal learning rate from TSE adaptively depending on the estimated target 4 of 22 The authors propose a deep . . .
  

   

  

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