Output details
11 - Computer Science and Informatics
University of Portsmouth
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Article title
Fuzzy Qualitative Human Motion Analysis
Type
D - Journal article
Title of journal
IEEE Transactions on Fuzzy Systems
Article number
-
Volume number
17
Issue number
4
First page of article
851
ISSN of journal
1941-0034
Year of publication
2009
Number of additional authors
1
Additional information
<22>It is evident that one of the challenging issues in vision based human motion analysis is its expensive computation which leads to the difficulty in implementing them into practical applications. The proposed fuzzy qualitative approach is validated in the surveillance context and achieves feasible computational cost for analyzing vision based human motion. This work is implemented to identify suspicious human motion behaviour from image sequences offered by Portsmouth CCTV control team. This paper won the Best Student Paper Award at KES2010.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
27
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
