Doi: 10.4018/ijitsa.320489 *corresponding author

HIGHLIGHTS

• who: from the OpenPose for Skeleton Extraction The OpenPose joint point detection algorithm is proposed by the Computational Research Laboratory at Carnegie Mellon UniversityThe framework allows a real-time estimation of the pose of each human limb in a multi-person scenario. The framework of this detection algorithm is constructed by a confidence algorithm and local affinity algorithm. Unlike AlphaPose, OpenPose performs key point detection from the bottom up. The recognition speed does not decrease as the number of people in the recognized image increases (Lin et_al, ). The OpenPose model consists of two parallel CNN. In these . . .
  

   

  

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