Vehicle recognition pipeline via DeepSort on aerial image datasets
For vehicle tracking, the model achieves accuracies of 0.89 and 0.85 on the VEDAI and SRTID datasets, respectively.
Authors
- Nouf Abdullah Almujally (ORCID: https://orcid.org/0000-0003-4405-9912)
- Abdulwahab Alazeb (ORCID: https://orcid.org/0000-0001-9661-7440)
- Touseef Sadiq (ORCID: https://orcid.org/0000-0001-6603-3639)
- Muhammad Hanzla (ORCID: https://orcid.org/0009-0000-5494-8743)
- Asaad Algarni (ORCID: https://orcid.org/0000-0002-0817-5775)
- Naif Al Mudawi
- Muhammad Ovais Yusuf (ORCID: https://orcid.org/0000-0003-4700-7317)
- Hameedur Rahman (ORCID: https://orcid.org/0000-0001-8892-9911)
Institutions
- Princess Nourah bint Abdulrahman University (SA)
- Northern Border University (SA)
- University of Agder (NO)
- Najran University (SA)
- Air University (PK)
Publication Details
- Journal
- Frontiers in Neurorobotics
- Published
- 2024-08-16
- DOI
- https://doi.org/10.3389/fnbot.2024.1430155
- Citations
- 13
- Primary Topic
- Advanced Neural Network Applications
- Type
- article
- Field-Weighted Citation Impact
- 3.24