Real time unmanned aerial vehicle tracking of fast moving small target on ground
- Submitting institution
-
University of Sussex
- Unit of assessment
- 12 - Engineering
- Output identifier
- 97416_78166
- Type
- D - Journal article
- DOI
-
10.1117/1.JEI.27.5.053010
- Title of journal
- The Journal of Electronic Imaging
- Article number
- 053010
- First page
- -
- Volume
- 27
- Issue
- 5
- ISSN
- 1017-9909
- Open access status
- Compliant
- Month of publication
- September
- Year of publication
- 2018
- URL
-
http://dx.doi.org/10.1117/1.JEI.27.5.053010
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
5
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The work is the result of an international collaboration and develops algorithms to track fast objects on the ground when image from a UAV. It is significant because most trackers are optimised to follow larger objects. They then perform relatively poorly when smaller objects are followed and use too much computational power. In this we are one of the first people to track more difficult objects, allowing new areas of research such as wildlife conservation, security and smart cities. This is currently being further investigated with industrial research a grant on Integrated Security Systems at Sussex (£514k).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
