Motion anomaly detection and trajectory analysis in visual surveillance

Chebiyyam, M., Reddy, R.D., Dogra, D.P. et al. (2 more authors) (2017) Motion anomaly detection and trajectory analysis in visual surveillance. Multimedia Tools and Applications. ISSN 1380-7501

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Copyright, Publisher and Additional Information: © Springer Science+Business Media, LLC 2017. This is an author produced version of a paper subsequently published in Multimedia Tools and Applications. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Visual surveillance; Anomalous activity detection; Abnormal behavior classification; Trajectory analysis
Dates:
  • Accepted: 4 September 2017
  • Published (online): 30 September 2017
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 14 Sep 2017 09:34
Last Modified: 30 Sep 2018 00:38
Published Version: https://doi.org/10.1007/s11042-017-5196-6
Status: Published online
Publisher: Springer Verlag
Refereed: Yes
Identification Number: https://doi.org/10.1007/s11042-017-5196-6

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