Skeleton Feature Fusion Based on Multi-Stream LSTM for Action Recognition
Human action recognition from skeleton sequences has attracted a lot of attention in the computer vision community. Long short term memory (LSTM) network has shown its promising performance for this problem, due to their strengths in modeling the dependencies and temporal dynamics of sequential data...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2018-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8463451/ |