Unmanned aerial vehicles for human detection and recognition using neural-network model
On these datasets, our suggested model produced corresponding action recognition accuracies of 0.68, 0.75, and 0.83.
Authors
- Touseef Sadiq (ORCID: https://orcid.org/0000-0001-6603-3639)
- Asaad Algarni (ORCID: https://orcid.org/0000-0002-0817-5775)
- Yawar Abbas (ORCID: https://orcid.org/0000-0002-7407-8818)
- Ahmad Jalal (ORCID: https://orcid.org/0009-0000-8421-8477)
- Bayan Ibrahimm Alabdullah (ORCID: https://orcid.org/0000-0002-6252-1800)
- Naif Al Mudawi
- Hameedur Rahman (ORCID: https://orcid.org/0000-0001-8892-9911)
Institutions
- Princess Nourah bint Abdulrahman University (SA)
- Northern Border University (SA)
- Korea University (KR)
- University of Agder (NO)
- Najran University (SA)
- Air University (PK)
Publication Details
- Journal
- Frontiers in Neurorobotics
- Published
- 2024-12-04
- DOI
- https://doi.org/10.3389/fnbot.2024.1443678
- Citations
- 28
- Primary Topic
- Video Surveillance and Tracking Methods
- Type
- article
- Field-Weighted Citation Impact
- 6.98