Investigation of different skeleton features for CNN-based 3D action recognition

@article{Ding2017InvestigationOD,
  title={Investigation of different skeleton features for CNN-based 3D action recognition},
  author={Zewei Ding and Pichao Wang and Philip Ogunbona and Wanqing Li},
  journal={2017 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)},
  year={2017},
  pages={617-622}
}
Deep learning techniques are being used in skeleton based action recognition tasks and outstanding performance has been reported. Compared with RNN based methods which tend to overemphasize temporal information, CNN-based approaches can jointly capture spatio-temporal information from texture color images encoded from skeleton sequences. There are several skeleton-based features that have proven effective in RNN-based and handcrafted-feature-based methods. However, it remains unknown whether… CONTINUE READING
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