Type
Conference PaperKAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) DivisionElectrical Engineering Program
Visual Computing Center (VCC)
Date
2016-09-17Online Publication Date
2016-09-17Print Publication Date
2016Permanent link to this record
http://hdl.handle.net/10754/622126
Metadata
Show full item recordAbstract
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.Citation
Mueller M, Smith N, Ghanem B (2016) A Benchmark and Simulator for UAV Tracking. Lecture Notes in Computer Science: 445–461. Available: http://dx.doi.org/10.1007/978-3-319-46448-0_27.Sponsors
Research in this paper was supported by the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research.Publisher
Springer NatureConference/Event name
14th European Conference on Computer Vision, ECCV 2016Additional Links
http://link.springer.com/chapter/10.1007%2F978-3-319-46448-0_27ae974a485f413a2113503eed53cd6c53
10.1007/978-3-319-46448-0_27