Reference : A Preliminary Study on the Automatic Visual based Identification of UAV Pilots from C...
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
Security, Reliability and Trust
http://hdl.handle.net/10993/45560
A Preliminary Study on the Automatic Visual based Identification of UAV Pilots from Counter UAVs
English
Cazzato, Dario []
Cimarelli, Claudio [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Automation >]
Voos, Holger mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Automation >]
27-Feb-2020
15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, Valletta 27-29 February 2020
582-589
Yes
No
International
978-989-758-402-2
15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP
27-02-2020 to 29-02-2020
INSTICC
Valletta
Malta
[en] Computer Vision ; Unmanned Aerial Vehicles ; Pilot indentification
[en] Two typical Unmanned Aerial Vehicles (UAV) countermeasures involve the detection and tracking of the UAV position, as well as of the human pilot; they are of critical importance before taking any countermeasure, and they already obtained strong attention from national security agencies in different countries. Recent advances in computer vision and artificial intelligence are already proposing many visual detection systems from an operating UAV, but they do not focus on the problem of the detection of the pilot of another approaching unauthorized UAV. In this work, a first attempt of proposing a full autonomous pipeline to process images from a flying UAV to detect the pilot of an unauthorized UAV entering a no-fly zone is introduced. A challenging video sequence has been created flying with a UAV in an urban scenario and it has been used for this preliminary evaluation. Experiments show very encouraging results in terms of recognition, and a complete dataset to evaluate artificial intelligence-based solution will be prepared.
Researchers ; Professionals ; Students
http://hdl.handle.net/10993/45560
10.5220/0009355605820589

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