Close menu

SURE

Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

Human action recognition in video via fused optical flow and moment features--towards a hierarchical approach to complex scenario recognition

WarningThere is a more recent version of this item available.

Clawson, Kathy, Jing, Min, Scotney, Bryan, Wang, Hui and Liu, Jun (2014) Human action recognition in video via fused optical flow and moment features--towards a hierarchical approach to complex scenario recognition. In: MultiMedia Modeling: 20th Anniversary International Conference, MMM 2014, Dublin, Ireland, January 6-10, 2014, Proceedings, Part II. Springer International Publishing, pp. 104-115. ISBN 978-3-319-04116-2

Item Type: Book Section
Full text not available from this repository.

More Information

Depositing User: Kathy Clawson

Identifiers

Item ID: 5389
Identification Number: 10.1007%2F978-3-319-04117-9_10
ISBN: 978-3-319-04116-2
URI: http://sure.sunderland.ac.uk/id/eprint/5389
Official URL: http://link.springer.com/chapter/10.1007%2F978-3-3...

Users with ORCIDS

ORCID for Kathy Clawson: ORCID iD orcid.org/0000-0001-8431-1524

Catalogue record

Date Deposited: 11 May 2015 14:05
Last Modified: 18 Dec 2019 15:37

Contributors

Author: Kathy Clawson ORCID iD
Author: Min Jing
Author: Bryan Scotney
Author: Hui Wang
Author: Jun Liu

University Divisions

Faculty of Technology
Faculty of Technology > School of Computer Science

Subjects

Computing

Actions (login required)

View Item View Item

Available Versions of this Item