Real-time human action recognition with Extreme Learning Machine

@article{Khezeli2017RealtimeHA,
  title={Real-time human action recognition with Extreme Learning Machine},
  author={Farhad Khezeli and Farbod Razzazi},
  journal={2017 10th Iranian Conference on Machine Vision and Image Processing (MVIP)},
  year={2017},
  pages={159-163}
}
In this paper, we propose an effective and high accurate method for RGB-D human action recognition in real-time. We simultaneously classify data extracted from both RGB video and depth data. Two Extreme Learning Machines (ELM) are used to improve accuracy and a decision-fusion defines the class of action. This method can analyze each frame in 25ms by the… CONTINUE READING