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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 (Unpublished)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 > Computer Graphics, Imaging and Vision 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 > Informatics Research Group
    School of Computing and Engineering > Informatics Research Group > Knowledge Engineering and Intelligent Interfaces
    Related URLs:
    Depositing User: Jing Wang
    Date Deposited: 27 Sep 2010 11:23
    Last Modified: 08 Oct 2013 10:09
    URI: http://eprints.hud.ac.uk/id/eprint/8642

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