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Volume-based Video analysis using 3D Segmentation Techniques

Wang, Jing, Xu, Zhijie and Pickering, Jonathan (2009) Volume-based Video analysis using 3D Segmentation Techniques. In: 15th International Conference on Automation & Computing, 19th September 2009, Luton, UK. (Unpublished)

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    Abstract

    Video content understanding for surveillance and security applications such as smart CCTV cameras has become a research hotspot in the last decade. This paper presents applications of volume construction and volume-based cluster segmentation approaches to video event detection. It starts with a description of the translation between original video frames and 3D volume structures denoted by spatial and temporal features. It then highlights the volume array structure, a so called “pre-suspicion” mechanism. The focus of the work is on devising an effective and efficient voxel-based segmentation technique suitable to the volumetric nature of video events through deploying innovative 3D clustering methods. It is supported by the design and experiment on the 3D data compression techniques for accelerating the pre-processing of the original video data. An evaluation on the performance of the developed methods is presented at the end.

    Item Type: Conference or Workshop Item (Paper)
    Subjects: T Technology > T Technology (General)
    Schools: School of Computing and Engineering
    School of Computing and Engineering > Computer Graphics, Imaging and Vision Research Group
    Related URLs:
    Depositing User: Jing Wang
    Date Deposited: 11 May 2010 11:21
    Last Modified: 24 Jun 2011 09:56
    URI: http://eprints.hud.ac.uk/id/eprint/7602

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