A Deep Learning Approach for Real-Time 3D Human Action Recognition from Skeletal Data

8 Jul 2019Huy Hieu PhamHoussam SalmaneLouahdi KhoudourAlain CrouzilPablo ZegersSergio A Velastin

We present a new deep learning approach for real-time 3D human action recognition from skeletal data and apply it to develop a vision-based intelligent surveillance system. Given a skeleton sequence, we propose to encode skeleton poses and their motions into a single RGB image... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet