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Spatio-Temporal Volume Based Video Event Detection

Wang, Jing, Xu, Zhijie, Pickering, Jonathan and Mishra, Rakesh (2009) Spatio-Temporal Volume Based Video Event Detection. In: University of Huddersfield Research Festival, 23rd March - 2nd April 2009, University of Huddersfield. (Unpublished)

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Abstract

The aim of this project is to develop techniques for the automatic classification of events in a video using efficient
volumetric video structures. Based on developing 3D volume processing and pattern analysis methods such as filter, segmentation, edge/surface detection, morphology and template mapping, the technique can automate
recognition of specific events in a video which can be applied in video indexing and searching, surveillance, and
human-computer interactions.

Item Type: Conference or Workshop Item (Poster)
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Schools: School of Computing and Engineering
School of Computing and Engineering > Automotive Engineering Research Group
School of Computing and Engineering > Pedagogical Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre
School of Computing and Engineering > Diagnostic Engineering Research Centre > Energy, Emissions and the Environment Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre > Machinery Condition and Performance Monitoring Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre > Measurement System and Signal Processing Research Group
School of Computing and Engineering > High-Performance Intelligent Computing
School of Computing and Engineering > High-Performance Intelligent Computing > Information and Systems Engineering Group
School of Computing and Engineering > High-Performance Intelligent Computing > Visualisation, Interaction and Vision
Depositing User: Cherry Edmunds
Date Deposited: 22 Jul 2009 11:34
Last Modified: 25 Aug 2015 22:36
URI: http://eprints.hud.ac.uk/id/eprint/5234

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