Action Recognition based on Human Pose Estimation
Jinxin G. Ji · 2021 2nd International Conference on Computing and Data Science (CDS) · 2021
In computer vision, human pose estimation and the following action recognition are active research topics, which have a wide application in human computer interaction, smart homes, athlete assistance training, etc. Driven by these applications, numerous algorithms and models are proposed in the recent years, among which deep learning becomes dominant. In this study, we summarize the recent progress of deep learning in human pose estimation and action recognition. We also point out some research challenges and future research directions.