Toward Abnormal Trajectory and Event Detection in Video Surveillance
- Submitting institution
-
De Montfort University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 12100
- Type
- D - Journal article
- DOI
-
10.1109/TCSVT.2016.2589859
- Title of journal
- IEEE Transactions on Circuits and Systems for Video Technology
- Article number
- -
- First page
- 683
- Volume
- 27
- Issue
- 3
- ISSN
- 1051-8215
- Open access status
- Deposit exception
- Month of publication
- -
- Year of publication
- 2016
- 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
-
5
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The work was a collaboration with Department of Informatics and Statistics at Universidade Federal de Santa Catarina, Brazil. A part of the framework presented in this paper was tested in Paris underground metro stations within EU FP7 Vanaheim Project (https://cordis.europa.eu/project/id/248907).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -