Human pose estimation: current trend and related improvements
Sihan Liang · International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022) · 2022
Human pose estimation is a technique for estimating human pose from input information obtained from a sensor. It has been widely learned in the field of computer vision. And the human body information provided by human pose estimation has been widely used in many applications and it helps a lot with artificial intelligence. With the development of deep learning, human pose estimation has made significant progress and achieved significant performance using deep learning techniques. But there still are some problems such as occlusion, insufficient training data, etc. are still challenges that need to be handeled. Because of the rapid development of human pose estimation and the gradually emerging problems, this article tries to refine three types of problems in human pose estimation and summarize some teams’ latest methods to deal with these problems.