Applying (3+2+1)D Residual Neural Network with Frame Selection for Hong Kong Sign Language Recognition.
Zhenxing ZhouKing-Shan LuiVincent W. L. TamEdmund Y. LamPublished in: ICPR (2020)
Keyphrases
- hong kong
- sign language recognition
- neural network
- sign language
- higher education
- gesture recognition
- chinese language
- financial news
- information literacy
- hand tracking
- object recognition
- primary school
- university of hong kong
- secondary school
- frame rate
- video frames
- hidden markov models
- internet banking
- e learning
- computer vision