You are not logged in.

Anomalous behavior detection in crowded scenes using clustering and spatio-temporal features

Yang, Meng, Rajasegarar, Sutharshan, Rao, Aravinda S., Leckie, Christopher and Palaniswami, Marimuthu 2016, Anomalous behavior detection in crowded scenes using clustering and spatio-temporal features, in IFIP 2016 : Proceedings of the 9th Intelligent Information Processing International Conference, Springer International, Cham, Switzerland, pp. 132-141, doi: 10.1007/978-3-319-48390-0_14.

Attached Files
Name Description MIMEType Size Downloads

Title Anomalous behavior detection in crowded scenes using clustering and spatio-temporal features
Author(s) Yang, Meng
Rajasegarar, Sutharshan
Rao, Aravinda S.
Leckie, Christopher
Palaniswami, Marimuthu
Conference name Intelligence Information Processing. International Conference (9th : 2016 : Melbourne, Victoria)
Conference location Melbourne, Victoria
Conference dates 18-21 Nov. 2016
Title of proceedings IFIP 2016 : Proceedings of the 9th Intelligent Information Processing International Conference
Editor(s) Shi, Zhongzhi
Vadera, Sunil
Li, Gang
Publication date 2016
Series IFIP Advances in Information and Communication Technology
Conference series Intelligence Information Processing International Conference
Start page 132
End page 141
Total pages 10
Publisher Springer International
Place of publication Cham, Switzerland
Keyword(s) anomaly detection
patio-temporal features
Hyperspherical clustering
Spatio-temporalfeatures
WIRELESS SENSOR NETWORKS
SOCIAL FORCE MODEL
ISBN 9783319483894
ISSN 1868-4238
Language eng
DOI 10.1007/978-3-319-48390-0_14
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 880107 Road Passenger Movements (excl. Public Transport)
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2016, IFIP International Federation for Information Processing
Persistent URL http://hdl.handle.net/10536/DRO/DU:30090147

Document type: Conference Paper
Collection: School of Information Technology
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 14 Abstract Views, 2 File Downloads  -  Detailed Statistics
Created: Fri, 21 Apr 2017, 16:32:55 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.