Abstract
In this paper, we propose a new aerial video dataset and benchmark for low altitude UAV target tracking, as well as, a photorealistic UAV simulator that can be coupled with tracking methods. Our benchmark provides the first evaluation of many state-of-the-art and popular trackers on 123 new and fully annotated HD video sequences captured from a low-altitude aerial perspective. Among the compared trackers, we determine which ones are the most suitable for UAV tracking both in terms of tracking accuracy and run-time. The simulator can be used to evaluate tracking algorithms in real-time scenarios before they are deployed on a UAV “in the field”, as well as, generate synthetic but photo-realistic tracking datasets with automatic ground truth annotations to easily extend existing real-world datasets. Both the benchmark and simulator are made publicly available to the vision community on our website to further research in the area of object tracking from UAVs. (https://ivul.kaust.edu.sa/Pages/pub-benchmark-simulator-uav.aspx.). © Springer International Publishing AG 2016.
Original language | English (US) |
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Title of host publication | Lecture Notes in Computer Science |
Publisher | Springer Nature |
Pages | 445-461 |
Number of pages | 17 |
ISBN (Print) | 9783319464473 |
DOIs | |
State | Published - Sep 17 2016 |
Bibliographical note
KAUST Repository Item: Exported on 2020-10-01Acknowledgements: Research in this paper was supported by the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research.