A Probabilistic Approach for Human Everyday Activities Recognition using Body Motion from RGB-D Images
- Submitting institution
-
Aston University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 23326737
- Type
- E - Conference contribution
- DOI
-
10.1109/ROMAN.2014.6926340
- Title of conference / published proceedings
- IEEE RO-MAN'14: IEEE International Symposium on Robot and Human Interactive Communication. Edinburgh-Scotland. * Finalist for Kazuo Tanie Award
- First page
- 732
- Volume
- -
- Issue
- -
- ISSN
- 1944-9445
- Open access status
- Out of scope for open access requirements
- Month of publication
- October
- 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)
-
A - Aston Institute of Urban Technology and the Environment (ASTUTE)
- Citation count
- 42
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
