中圖分類號(hào)： TP391.4
文獻(xiàn)標(biāo)識(shí)碼： A
DOI：10.16157/j.issn.0258-7998.201087
中文引用格式： 喬迤，曲毅. 基于卷積神經(jīng)網(wǎng)絡(luò)的2D人體姿態(tài)估計(jì)綜述[J].電子技術(shù)應(yīng)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