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)
PDF
Publisher pdf
Language: English
This work is licensed under a Creative Commons Attribution 4.0 International License.
|
|
Download this file (PDF/1MB) |
Preview |
Request a format suitable for use with assistive technology e.g. a screenreader | |
Official URL: http://dx.doi.org/10.1038/s41598-017-14026-3 |
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) |
- Link to SensusAccess
- Export to:
- RefWorks
- EPrints3 XML
- BibTeX
- CSV
- Depositors only (login required):