Ensemble learning-based multi-cues fusion object tracking in complex surveillance environment

HIGHLIGHTS

• who: Hui Du from the Beijing Polytechnic, Beijing, China have published the research: Ensemble Learning-Based Multi-Cues Fusion Object Tracking in Complex Surveillance Environment, in the Journal: Computational Intelligence and Neuroscience of 10/08/2022
• what: This model is able to determine the optimal scale of the object which is the goal of this endeavor. The aim of the KCF tracking model, from a statistical point of view, is to locate an optimal space, one in which the training data and the predicted output can achieve the best possible state of fitting together. According . . .
  

   

  

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