Video anomaly detection with compact feature sets for online performance

Leyva, Roberto, Sanchez, Victor and Li, Chang-Tsun 2017, Video anomaly detection with compact feature sets for online performance, IEEE transactions on image processing, vol. 26, no. 7, pp. 3463-3478, doi: 10.1109/TIP.2017.2695105.

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Title Video anomaly detection with compact feature sets for online performance
Author(s) Leyva, Roberto
Sanchez, Victor
Li, Chang-TsunORCID iD for Li, Chang-Tsun orcid.org/0000-0003-4735-6138
Journal name IEEE transactions on image processing
Volume number 26
Issue number 7
Start page 3463
End page 3478
Total pages 16
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Publication date 2017-07
ISSN 1941-0042
Keyword(s) Video anomaly detection
online processing
video surveillance
Science & Technology
Technology
Computer Science, Artificial Intelligence
Engineering, Electrical & Electronic
Computer Science
Engineering
Language eng
DOI 10.1109/TIP.2017.2695105
Field of Research 0801 Artificial Intelligence And Image Processing
0906 Electrical And Electronic Engineering
1702 Cognitive Science
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2017, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30119809

Document type: Journal Article
Collection: School of Information Technology
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