Human interaction anticipation by combining deep features and transformed optical flow components

HIGHLIGHTS

• who: Components and collaborators from the of Computer Science Software Engineering, International Islamic University, Islamabad, Pakistan have published the paper: Human Interaction Anticipation by Combining Deep Features and Transformed Optical Flow Components, in the Journal: (JOURNAL)
• what: The authors propose a novel approach that integrates Deep Features with novel hand-crafted features namely Transformed Optical Flow (TOFCs). In this paper, the focus is to anticipate complex human activities in real outdoor scenarios in single and multiple camera setups. The authors propose to combine deep features with handcrafted features to reduce the effects of shadows and . . .
  

   

  

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