Research progress on two-dimensional human pose estimation based on deep learning
Human pose estimation has broad application prospects in human behavior recognition,human computer interaction,sports analysis,and has been a research hotspot in the field of computer vision.In the past decade,thanks to deep learning technology,a large amount of studies have greatly promoted the development of human pose estimation technology.However,due to factors such as insufficient training samples,variability of human pose,occlusion,and complexity of the environment,human pose estimation still faces many challenges.This paper reviews and summarizes the 2D human pose estimation methods based on deep learning in recent years,focusing on analyzing the ideas and principles of some representative human pose estimation methods,so that scholars in this field can understand current research status,challenges,and future directions,and expand their research ideas.
human pose estimation(HPE)single-person pose estimationmulti-person pose estimationdeep learningkeypoint detection
万方数据
维普
