中图分类号： TP391.4
文献标识码： A
DOI：10.16157/j.issn.0258-7998.201087
中文引用格式： 乔迤，曲毅. 基于卷积神经网络的2D人体姿态估计综述[J].电子技术应用，2021，47(6)：15-21.
英文引用格式： Qiao Yi，Qu Yi. Overview of 2D human pose estimation based on convolutional neural network[J]. Application of Electronic Technique，2021，47(6)：15-21.

Overview of 2D human pose estimation based on convolutional neural network

Abstract： With the rapid development of deep learning, 2D human pose estimation is used as the research basis for other computer vision tasks, and its detection speed and accuracy have practical significance for subsequent applications. This paper introduces the methods of 2D human pose estimation based on convolutional neural networks in recent years. The existing methods are divided into human body detection combined with joint point regression algorithm and human body joint point detection clustering algorithm. At the same time, the current mainstream datasets and the evaluation criteria are summarized, and finally the current difficulties and future development trends of 2D human pose estimation are explained, which provides some references for related research on pose estimation.

Key words : 2D human pose estimation；convolutional neural network；keypoints of the human body