Overview on 2D Human Pose Estimation Based on Deep Learning
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    Abstract:

    Human pose estimation is a basic and challenging task in the field of computer vision. It is the basis for many of computer vision tasks, such as action recognition and action detection. With the development of deep learning methods, deep learning-based human pose estimation algorithms have shown excellent results. This study divides pose estimation methods into three categories, including single person pose estimation, top-down multi-person pose estimation, and bottom-up multi-person pose estimation. The development of 2D human pose estimation algorithms in recent years is introduced, and the current challenges of two-dimensional human pose estimation are discussed. Finally, the outlook for the future development of human pose estimation is given.

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张宇,温光照,米思娅,张敏灵,耿新.基于深度学习的二维人体姿态估计综述.软件学报,2022,33(11):4173-4191

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History
  • Received:January 18,2020
  • Revised:January 06,2021
  • Adopted:
  • Online: August 02,2021
  • Published: November 06,2022
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