Recognising Complex Activities with Histograms of Relative Tracklets
- Submitting institution
-
University of Dundee
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 28401928
- Type
- D - Journal article
- DOI
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10.1016/j.cviu.2016.08.012
- Title of journal
- Computer Vision and Image Understanding
- Article number
- -
- First page
- 82
- Volume
- 154
- Issue
- -
- ISSN
- 1077-3142
- Open access status
- Compliant
- Month of publication
- September
- 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
-
1
- Research group(s)
-
-
- Citation count
- 7
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The dataset (doi:10.15132/10000120) accompanying this work was downloaded more than 500 times from 45 different countries (IRUS-UK data) and has been used in published activity recognition experiments by computer vision research groups at institutions such as INRIA, John Hopkins University, University of Rochester, Brown University, University of Bristol, University of Bonn, Queensland University of Technology, University of Maryland, and Technical University of Munich.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -