7 citations · 8 across the 5 of their papers we have counts for
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cs.CV2021★ 1 cited
UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-identification in Video Imagery
Daniel Organisciak, Matthew Poyser, Aishah Alsehaim +4
As unmanned aerial vehicles (UAVs) become more accessible with a growing range of applications, the potential risk of UAV disruption increases. Recent development in deep learning…
cs.CV2021★ 7 cited
Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark
Brian K. S. Isaac-Medina, Matt Poyser, Daniel Organisciak +3
Unmanned Aerial Vehicles (UAV) can pose a major risk for aviation safety, due to both negligent and malicious use. For this reason, the automated detection and tracking of UAV is a…