Real-time 3D human action recognition based on Hyperpoint sequence

arXiv:2111.08492v3 Announce Type: replace
Abstract: Real-time 3D human action recognition has broad industrial applications, such as surveillance, human-computer interaction, and healthcare monitoring. By relying on complex spatio-temporal local encoding, most existing point cloud sequence networks capture spatio-temporal local structures to recognize 3D human actions. To simplify the point cloud sequence modeling task, we propose a lightweight and effective point cloud sequence network referred to as SequentialPointNet for real-time 3D action recognition. Instead of capturing spatio-temporal local structures, SequentialPointNet encodes the …

abstract action recognition applications arxiv cloud computer cs.cv encoding healthcare human human-computer interaction industrial modeling monitoring networks real-time recognition surveillance temporal type