A Benchmark and Simulator for UAV Tracking

Matthias Mueller, Neil Smith, Bernard Ghanem

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1325 Scopus citations

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 languageEnglish (US)
Title of host publicationLecture Notes in Computer Science
PublisherSpringer Nature
Pages445-461
Number of pages17
ISBN (Print)9783319464473
DOIs
StatePublished - Sep 17 2016

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: Research in this paper was supported by the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research.

Fingerprint

Dive into the research topics of 'A Benchmark and Simulator for UAV Tracking'. Together they form a unique fingerprint.

Cite this