Advances in vision-based gait recognition: from handcrafted to deep learning

HIGHLIGHTS

  • who: Firstname Lastname and collaborators from the Faculty of Information Science and Technology, Multimedia University, Melaka, Malaysia have published the Article: Advances in Vision-Based Gait Recognition: From Handcrafted to Deep Learning, in the Journal: Sensors 2022, 22, 5682. of /2022/
  • what: In this paper a comprehensive overview of the existing deep learning-based gait recognition approach is presented.
  • how: This paper discusses the existing handcrafted approach and deep learning approach for gait recognition problems. The mean and standard deviation of six proposed features were calculated for each gait cycle. Static features were . . .

     

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