Fusion of Random Walk and Discrete Fourier Spectrum Methods for Gait Recognition
- Submitting institution
-
University of Ulster
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 76438165
- Type
- D - Journal article
- DOI
-
10.1109/THMS.2017.2706658
- Title of journal
- IEEE Transactions on Human-Machine Systems
- Article number
- -
- First page
- 751
- Volume
- 47
- Issue
- 6
- ISSN
- 2168-2291
- Open access status
- Compliant
- Month of publication
- May
- Year of publication
- 2017
- URL
-
-
- 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
-
3
- Research group(s)
-
A - Intelligent Systems Research Centre
- Citation count
- 6
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- <19> The research formed the basis of the IdentiGait project funded by Invest Northern Ireland, a new individual gait recognition technology for surveillance video (e.g. CCTV). The work was presented at exhibitions (Security and Policing Exhibition in Farnborough) with 5+ international counter-terrorism units. The lead author (then Research Associate) is now a lecturer in Data Analytics at Ulster University. The work was linked to 2 HE/FE Competitive Connected Funds with companies evu and LumenID (£107516, 2015-2018), a 3-year CAST PhD Award with evu (£100000, 2016), and a FUSION project with EverCam Ltd (£44250, 2018-2020).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -