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Video Feature Representation and 3D Curve-based Event Matching

Wang, Jing, O'Grady, Michael, Xu, Qian and Xu, Zhijie (2010) Video Feature Representation and 3D Curve-based Event Matching. In: 16th International Conference on Automation and Computing (ICAC’10), University of Birmingham. (Unpublished)

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Abstract

This paper highlights the progress of the research programme for investigating spatio-temporal volume basedvideo event detection. The main research aim is to devise innovative and efficient volume-based video content analysis techniques and systems. To tackle this challenge, this paper fouces on the subjects of volume based feature analysis and event template matching. Corresponding system prototype design and experimental result analysis have also been presented in this report. The experiment result has clearly demonstrated the advantages of the volume based event detection methodology in terms of its richness of emporalrelated information and the potentials for identifying complex activities. As an important application, the difficulties in representing/extracting dynamic features from randomly ordered stacks of 2D snapshots can now be readily denoted as voxels for analysis in a 3D volumetric space.

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QA Mathematics > QA76 Computer software
T Technology > T Technology (General)
Schools: School of Computing and Engineering
School of Computing and Engineering > High-Performance Intelligent Computing > Visualisation, Interaction and Vision
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 > High-Performance Intelligent Computing
School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge
School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge
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Depositing User: Jing Wang
Date Deposited: 27 Sep 2010 10:23
Last Modified: 08 Oct 2013 09:09
URI: http://eprints.hud.ac.uk/id/eprint/8642

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