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dc.contributor.authorMueller, Matthias
dc.contributor.authorSmith, Neil
dc.contributor.authorGhanem, Bernard
dc.date.accessioned2017-01-02T08:10:19Z
dc.date.available2017-01-02T08:10:19Z
dc.date.issued2016-09-17
dc.identifier.citationMueller 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.
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.doi10.1007/978-3-319-46448-0_27
dc.identifier.urihttp://hdl.handle.net/10754/622126
dc.description.abstractIn 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.
dc.description.sponsorshipResearch in this paper was supported by the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research.
dc.publisherSpringer Nature
dc.relation.urlhttp://link.springer.com/chapter/10.1007%2F978-3-319-46448-0_27
dc.subjectAerial object tracking
dc.subjectUAV simulator
dc.subjectUAV tracking
dc.titleA Benchmark and Simulator for UAV Tracking
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentVisual Computing Center (VCC)
dc.identifier.journalLecture Notes in Computer Science
dc.conference.date2016-10-11 to 2016-10-14
dc.conference.name14th European Conference on Computer Vision, ECCV 2016
dc.conference.locationAmsterdam, NLD
kaust.personMueller, Matthias
kaust.personSmith, Neil
kaust.personGhanem, Bernard
dc.date.published-online2016-09-17
dc.date.published-print2016


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