Unmanned aerial vehicle based multi-person detection via deep neural network models
Results how that the proposed framework is indeed effective at multi-person action recognition under difficult UAV conditions.
Authors
- Hui Liu (ORCID: https://orcid.org/0000-0002-6850-9570)
- Abdulmonem Alshahrani (ORCID: https://orcid.org/0000-0003-2984-0612)
- Dina Abdulaziz AlHammadi (ORCID: https://orcid.org/0000-0002-2680-8206)
- Mohammed Alshehri (ORCID: https://orcid.org/0000-0003-1035-311X)
- Yahya Alqahtani (ORCID: https://orcid.org/0000-0001-8622-0722)
- Ahmad Jalal (ORCID: https://orcid.org/0009-0000-8421-8477)
- Laiba Zahoor
Institutions
- Princess Nourah bint Abdulrahman University (SA)
- University of Bremen (DE)
- Korea University (KR)
- Nanjing University of Science and Technology (CN)
- Guodian Institute of Science and Technology (CN)
- King Khalid University (SA)
- Air University (PK)
Publication Details
- Journal
- Frontiers in Neurorobotics
- Published
- 2025-04-17
- DOI
- https://doi.org/10.3389/fnbot.2025.1582995
- Citations
- 34
- Primary Topic
- Video Surveillance and Tracking Methods
- Type
- article
- Field-Weighted Citation Impact
- 43.38