Skip to main content
Kent Academic Repository

Person identification from aerial footage by a remote-controlled drone

Bindemann, Markus, Fysh, Matthew C., Sage, Sophie S.K., Douglas, Kristina, Tummon, Hannah M. (2017) Person identification from aerial footage by a remote-controlled drone. Scientific Reports, 7 . pp. 1-10. ISSN 2045-2322. (doi:10.1038/s41598-017-14026-3) (KAR id:64127)

Abstract

Remote-controlled aerial drones (or unmanned aerial vehicles; UAVs) are employed for surveillance by the military and police, which suggests that drone-captured footage might provide sufficient information for person identification. This study demonstrates that person identification from drone- captured images is poor when targets are unfamiliar (Experiment 1), when targets are familiar and the number of possible identities is restricted by context (Experiment 2), and when moving footage is employed (Experiment 3). Person information such as sex, race and age is also difficult to access from drone-captured footage (Experiment 4). These findings suggest that such footage provides a particularly poor medium for person identification. This is likely to reflect the sub-optimal quality of such footage, which is subject to factors such as the height and velocity at which drones fly, viewing distance, unfavourable vantage points, and ambient conditions.

Item Type: Article
DOI/Identification number: 10.1038/s41598-017-14026-3
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Divisions: Divisions > Division of Human and Social Sciences > School of Psychology
Depositing User: Markus Bindemann
Date Deposited: 23 Oct 2017 20:17 UTC
Last Modified: 05 Nov 2024 11:00 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/64127 (The current URI for this page, for reference purposes)

University of Kent Author Information

Bindemann, Markus.

Creator's ORCID: https://orcid.org/0000-0002-9608-4186
CReDIT Contributor Roles:

Tummon, Hannah M..

Creator's ORCID:
CReDIT Contributor Roles:
  • Depositors only (login required):

Total unique views for this document in KAR since July 2020. For more details click on the image.