Two-stream fusion model using 3D-CNN and 2D-CNN via video-frames and optical flow motion templates for hand gesture recognition.
- DOI
- 10.1007/s11334-022-00477-z
- Published
- 2022 Aug 29
- Container
- Innovations in systems and software engineering
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1007/s11334-022-00477-z,
title = {Two-stream fusion model using 3D-CNN and 2D-CNN via video-frames and optical flow motion templates for hand gesture recognition.},
author = {Sarma D and Kavyasree V and Bhuyan MK},
year = {2022},
journal = {Innovations in systems and software engineering},
doi = {10.1007/s11334-022-00477-z},
url = {https://doi.org/10.1007/s11334-022-00477-z}
}RIS
TY - JOUR TI - Two-stream fusion model using 3D-CNN and 2D-CNN via video-frames and optical flow motion templates for hand gesture recognition. AU - Sarma D AU - Kavyasree V AU - Bhuyan MK PY - 2022 JO - Innovations in systems and software engineering DO - 10.1007/s11334-022-00477-z UR - https://doi.org/10.1007/s11334-022-00477-z ER -
APA
D, S., V, K., & MK, B. (2022). Two-stream fusion model using 3D-CNN and 2D-CNN via video-frames and optical flow motion templates for hand gesture recognition.. Innovations in systems and software engineering. https://doi.org/10.1007/s11334-022-00477-z
Source records
- pubmed · retrieved 2026-09-26T07:40:52.265Z