"3DFCNN: real-time action recognition using 3D deep neural networks with ..."

Adrian Sanchez-Caballero et al. (2022)

> Home

Details and statistics

DOI: 10.1007/S11042-022-12091-Z

access: open

type: Journal Article

metadata version: 2022-08-25

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/mta/Sanchez-Caballero22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/mta/Sanchez-Caballero22
Adrian Sanchez-Caballero, Sergio de López Diz, David Fuentes-Jiménez, Cristina Losada-Gutiérrez, Marta Marrón Romera, David Casillas-Pérez, Mohammad Ibrahim Sarker:
3DFCNN: real-time action recognition using 3D deep neural networks with raw depth information. Multim. Tools Appl. 81(17): 24119-24143 (2022)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.