The LV dataset: a realistic surveillance video dataset for abnormal event detection Leyva, Roberto, Sanchez, Victor and Li, Chang-Tsun 2017, The LV dataset: a realistic surveillance video dataset for abnormal event detection, in IWBF 2017 : Proceedings of the 2017 5th International Workshop on Biometrics and Forensics, Institute of Electrical and Electronics Engineers, Piscataway, N.J., pp. 1-6, doi: 10.1109/IWBF.2017.7935096. Attached Files Name Description MIMEType Size Downloads Title The LV dataset: a realistic surveillance video dataset for abnormal event detection Author(s) Leyva, Roberto Sanchez, Victor Li, Chang-Tsun orcid.org/0000-0003-4735-6138 Conference name European Association for Biometrics. Workshop (5th : 2017 : Coventry, Eng.) Conference location Coventry, Eng. Conference dates 2017/04/04 - 2017/04/05 Title of proceedings IWBF 2017 : Proceedings of the 2017 5th International Workshop on Biometrics and Forensics Editor(s) [Unknown] Publication date 2017 Series European Association for Biometrics Workshop Start page 1 End page 6 Total pages 6 Publisher Institute of Electrical and Electronics Engineers Place of publication Piscataway, N.J. Keyword(s) Video surveillance Video anomaly detection Online processing ISBN 9781509057917 Language eng DOI 10.1109/IWBF.2017.7935096 HERDC Research category E1.1 Full written paper - refereed Copyright notice ©2017, IEEE Persistent URL http://hdl.handle.net/10536/DRO/DU:30120978 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Tue, 16 Apr 2019, 14:35:39 EST Wed, 17 Apr 2019, 05:02:05 EST Wed, 17 Apr 2019, 06:06:21 EST Thu, 18 Apr 2019, 11:47:30 EST Thu, 18 Apr 2019, 11:49:29 EST Thu, 18 Apr 2019, 11:50:16 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 17 times in Scopus Search Google Scholar Access Statistics: 479 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Tue, 16 Apr 2019, 14:35:39 EST

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