Graph-based topic models for trajectory clustering in crowd videos
- Submitting institution
-
The University of Sheffield
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 7855
- Type
- D - Journal article
- DOI
-
10.1007/s00138-020-01092-3
- Title of journal
- Machine Vision and Applications
- Article number
- 39
- First page
- -
- Volume
- 31
- Issue
- -
- ISSN
- 0932-8092
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2020
- 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
-
1
- Research group(s)
-
G - Speech and Hearing
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper was the outcome of the continued collaboration with a former PhD student (Manal AlGhamdi, https://sa.linkedin.com/in/manal-alghamdi-22223a151), now an assistant professor of the Umm Al-Qura University in Saudi Arabia. It concerns trajectory modelling of crowd moves with data collected in the largest mosque in the world (the Great Mosque of Mecca).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -