Real-time robust tracking for motion blur and fast motion via correlation filters

HIGHLIGHTS

• who: Lingyun Xu et al. from the Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China University of Chinese Academy of Science, Beijing, China have published the research work: Real-Time Robust Tracking for Motion Blur and Fast Motion via Correlation Filters, in the Journal: Sensors 2016, 1443 of /2016/
• what: The multi-channel features and the approach to integrate them together are applied in KCF to build an insensitive stronger classifier for illustration variation and appearance model variation. The authors propose a new method to combine KCF and STC for scale estimation, and . . .
  

   

  

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