二维人体姿态估计研究进展

Research Advance on 2D Human Pose Estimation

人体姿态估计一直是计算机视觉领域的研究热点,随着人体姿态估计方法的性能和精度不断提升,目前可以广泛应用于人机交互、智能监控和人体活动分析等领域。人体姿态估计属于强应用相关的研究领域,现有研究成果均不同程度地涉及方法、模型和应用层面,亟待对其进行系统性归纳和总结。文中综述了大量二维人体姿态估计的研究成果,以供研究人员参考。具体包括:单人和多人姿态估计方法,基于ResNet,Hourglass和HRNet的姿态估计模型,以及姿态估计在人机交互和智能监控领域的应用。文中提出的关于移动设备中的人体姿态估计、拥挤场景下的人体姿态估计和装备人群的姿态估计等研究问题和研究思路,是现有研究的良好补充,为研究人员提供了广阔的研究空间。

Human pose estimati on has always been a research hotspot in the field of computer vision.With the continuous improvement of the performance and accuracy of human pose estimation methods,it can be widely used in human-computer interaction,intelligent surveillance and human activity analysis,etc.In this paper,the methods,models and applications of two-dimensional human pose estimation are reviewed and analyzed,and the future research direction is prospected.The introduction of the method is divided into single person and multi-person pose estimation.In terms of the model,it mainly introduces the models based on ResNet,Hourglass and HRNet.In terms of the application,it mainly introduces the application in the field of human-computer interaction and intelligent surveillance.The research prospect is mainly aimed at the expansion of application scenarios.This paper summarizes the research results in recent years and sorts out the possible research directions.