Human action recognition in video via fused optical flow and moment features--towards a hierarchical approach to complex scenario recognition
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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. Lecture Notes in Computer Science (8326). Springer International Publishing, pp. 104-115. ISBN 978-3-319-04116-2
Item Type: | Book Section |
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Depositing User: Kathy Clawson |
Identifiers
Item ID: 6957 |
Identification Number: 10.1007%2F978-3-319-04117-9_10 |
ISBN: 978-3-319-04116-2 |
URI: http://sure.sunderland.ac.uk/id/eprint/6957 | Official URL: http://link.springer.com/chapter/10.1007%2F978-3-3... |
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Date Deposited: 05 Apr 2017 09:16 |
Last Modified: 18 Dec 2019 15:40 |
Author: | Kathy Clawson |
Author: | Min Jing |
Author: | Bryan Scotney |
Author: | Hui Wang |
Author: | Jun Liu |
University Divisions
Faculty of TechnologyFaculty of Technology > School of Computer Science
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Human action recognition in video via fused optical flow and moment features--towards a hierarchical approach to complex scenario recognition. (deposited 11 May 2015 14:05)
- Human action recognition in video via fused optical flow and moment features--towards a hierarchical approach to complex scenario recognition. (deposited 05 Apr 2017 09:16) [Currently Displayed]