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Person identification from aerial footage by a remote-controlled drone
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-captu...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5648773/ https://www.ncbi.nlm.nih.gov/pubmed/29051619 http://dx.doi.org/10.1038/s41598-017-14026-3 |
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author | Bindemann, Markus Fysh, Matthew C. Sage, Sophie S. K. Douglas, Kristina Tummon, Hannah M. |
author_facet | Bindemann, Markus Fysh, Matthew C. Sage, Sophie S. K. Douglas, Kristina Tummon, Hannah M. |
author_sort | Bindemann, Markus |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5648773 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-56487732017-10-26 Person identification from aerial footage by a remote-controlled drone Bindemann, Markus Fysh, Matthew C. Sage, Sophie S. K. Douglas, Kristina Tummon, Hannah M. Sci Rep Article 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. Nature Publishing Group UK 2017-10-19 /pmc/articles/PMC5648773/ /pubmed/29051619 http://dx.doi.org/10.1038/s41598-017-14026-3 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Bindemann, Markus Fysh, Matthew C. Sage, Sophie S. K. Douglas, Kristina Tummon, Hannah M. Person identification from aerial footage by a remote-controlled drone |
title | Person identification from aerial footage by a remote-controlled drone |
title_full | Person identification from aerial footage by a remote-controlled drone |
title_fullStr | Person identification from aerial footage by a remote-controlled drone |
title_full_unstemmed | Person identification from aerial footage by a remote-controlled drone |
title_short | Person identification from aerial footage by a remote-controlled drone |
title_sort | person identification from aerial footage by a remote-controlled drone |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5648773/ https://www.ncbi.nlm.nih.gov/pubmed/29051619 http://dx.doi.org/10.1038/s41598-017-14026-3 |
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