Investigation of Different Skeleton Features for CNN-based 3D Action Recognition

Understand

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 they are suitable for CNN-based approaches.