Skarimva: Skeleton-based Action Recognition is a Multi-view Application

ArXi:2602.23231v2 Announce Type: replace Human action recognition plays an important role when developing intelligent interactions between humans and machines. While there is a lot of active research on improving the machine learning algorithms for skeleton-based action recognition, not much attention has been given to the quality of the input skeleton data itself. This work nstrates that by making use of multiple camera views to triangulate accurate 3D~skeletons, the performance of state-of-the-art action recognition models can be improved significantly.