Show simple item record

dc.contributor.advisorGhanem, Bernard
dc.contributor.authorMueller, Matthias
dc.date.accessioned2016-05-08T11:15:55Z
dc.date.available2016-05-08T11:15:55Z
dc.date.issued2016-04-13
dc.identifier.doi10.25781/KAUST-HWH6B
dc.identifier.urihttp://hdl.handle.net/10754/608605
dc.description.abstractIn this thesis, we propose a new aerial video dataset and benchmark for low altitude UAV target tracking, as well as, a photo-realistic 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. We also present a simulator that 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 free ground truth annotations to easily extend existing real-world datasets. Both the benchmark and simulator will be made publicly available to the vision community to further research in the area of object tracking from UAVs. Additionally, we propose a persistent, robust and autonomous object tracking system for unmanned aerial vehicles (UAVs) called Persistent Aerial Tracking (PAT). A computer vision and control strategy is applied to a diverse set of moving objects (e.g. humans, animals, cars, boats, etc.) integrating multiple UAVs with a stabilized RGB camera. A novel strategy is employed to successfully track objects over a long period, by ’handing over the camera’ from one UAV to another. We integrate the complete system into an off- 4 the-shelf UAV, and obtain promising results showing the robustness of our solution in real-world aerial scenarios.
dc.language.isoen
dc.subjectobject tracking
dc.subjectAerial tracking
dc.subjectUAV
dc.subjectsurveillance
dc.subjectBenchmark
dc.subjectSimulator
dc.titlePersistent Aerial Tracking
dc.typeThesis
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
thesis.degree.grantorKing Abdullah University of Science and Technology
dc.contributor.committeememberShamma, Jeff S.
dc.contributor.committeememberWonka, Peter
thesis.degree.disciplineElectrical Engineering
thesis.degree.nameMaster of Science
refterms.dateFOA2018-06-13T12:22:57Z


Files in this item

Thumbnail
Name:
Final Master Thesis_MatthiasMueller.pdf
Size:
21.89Mb
Format:
PDF
Description:
Final MS Thesis

This item appears in the following Collection(s)

Show simple item record