Tracking object poses in the context of robust body pose estimates
- Submitting institution
-
Loughborough University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1932
- Type
- D - Journal article
- DOI
-
10.1016/j.cviu.2014.06.009
- Title of journal
- Computer Vision and Image Understanding
- Article number
- -
- First page
- 57
- Volume
- 127
- Issue
- -
- ISSN
- 1077-3142
- Open access status
- Out of scope for open access requirements
- Month of publication
- June
- Year of publication
- 2014
- 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
-
2
- Research group(s)
-
-
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This research led to several new grants, including Innovate UK (104703) automated football action event detection, KTP (11997) robot vision for food production automation, and EPSRC CDT-EI sports performance analysis. Based on this research and follow-up projects/grants, several keynotes have been presented at e.g. IEEE ICAICA’20, IEEE IICSPI’20, and iRobot’20.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -