Interaction-based Human Activity Comparison
- Submitting institution
-
University of Northumbria at Newcastle
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 25206835
- Type
- D - Journal article
- DOI
-
10.1109/tvcg.2019.2893247
- Title of journal
- IEEE Transactions on Visualization and Computer Graphics
- Article number
- -
- First page
- 2620
- Volume
- 26
- Issue
- 8
- ISSN
- 1077-2626
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2019
- 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
-
3
- Research group(s)
-
D - Computer Vision and Natural Computing (CVNC)
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The outcomes of this research led to a collaboration with Shenzhen University (SZU) (Prof. Hui Huang huihuang@szu.edu.cn) in extending the human interaction analysis algorithm proposed in this paper in intelligent surveillance applications. Dr Edmond Ho was invited (by Prof. Hui Huang) to give a research talk titled “Interaction-based Human Activity Comparison, Analysis and Synthesis” at the Summer School at SZU which attracted over 200 prospective postgraduate research students to attend in July 2019 (https://vcc.tech/resources/ss/2019/course.html). The motion data with close interactions, which are rarely available in the public currently, is published online (URL: http://hubertshum.com/info/publications/tvcg2019interaction/files/database.zip) to stimulate the research in this area.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
