Output details
11 - Computer Science and Informatics
University of Huddersfield
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Output 0 of 0 in the submission
Article title
STV-based Video Feature Processing for Action Recognition
Type
D - Journal article
Title of journal
Signal Processing
Article number
-
Volume number
93
Issue number
8
First page of article
2151
ISSN of journal
0165-1684
Year of publication
2012
Number of additional authors
1
Additional information
<23>A novel Spatio-Temporal Volume (STV) and region intersection (RI) based 3D shape-matching method has been developed to facilitate the rapid definition and recognition of human actions from live videos. Its theoretical breakthroughs had enabled online matching mechanisms being implemented into real-life CCTV systems, which led to collaboration with the State-run ShaanXi Digital Forensics Research Centre in China. The work was rooted in early investigations and prototypes published by the authors in the 15th International Conference on Automation and Computing in 2009, which won the only best-paper award out of 70 entries.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
