Output details
19 - Business and Management Studies
University of Manchester
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Output 0 of 0 in the submission
Article title
Mining anomalous events against frequent sequences in surveillance videos from commercial environments
Type
D - Journal article
Title of journal
Expert Systems with Applications
Article number
-
Volume number
39
Issue number
4
First page of article
4511
ISSN of journal
0957-4174
Year of publication
2012
URL
-
Number of additional authors
3
Additional information
-
Interdisciplinary
Yes
Cross-referral requested
11 - Computer Science and Informatics
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-