STTG-net: a Spatio-temporal network for human motion prediction based on transformer and graph convolution network.

ABSTRACT: In recent years, human motion prediction has become an active research topic in computer vision. However, owing to the complexity and stochastic nature of human motion, it remains a challenging problem. In previous works, human motion prediction has always been treated as a typical inter-sequence problem, and most works have aimed to capture the temporal dependence between successive frames. However, although these approaches focused on the effects of the temporal dimension, they rarely considered the correlation between different joints in space. Thus, the spatio-temporal coupling of human joints is considered, to propose a novel spatio-temporal network based on a transformer and a gragh convolutional network (GCN) (STTG-Net). The temporal transformer is used to capture the global tempora

SUBMITTER: Chen L 

PROVIDER: S-EPMC9338210 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature