Research

Delta-dual hierarchical Dirichlet processes: A pragmatic abnormal behaviour detector


Reference:

Fincham Haines, T. and Xiang, T., 2011. Delta-dual hierarchical Dirichlet processes: A pragmatic abnormal behaviour detector. In: 13th International Conference on Computer Vision (ICCV), 2011-11-06 - 2011-11-13.

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    Abstract

    In the security domain a key problem is identifying rare behaviours of interest. Training examples for these behaviours may or may not exist, and if they do exist there will be few examples, quite probably one. We present a novel weakly supervised algorithm that can detect behaviours that either have never before been seen or for which there are few examples. Global context is modelled, allowing the detection of abnormal behaviours that in isolation appear normal. Pragmatic aspects are considered, such that no parameter tuning is required and real time performance is achieved.

    Details

    Item Type Conference or Workshop Items (Paper)
    CreatorsFincham Haines, T.and Xiang, T.
    DepartmentsFaculty of Science > Computer Science
    Research CentresEPSRC Centre for Doctoral Training in Statistical Mathematics (SAMBa)
    RefereedYes
    StatusPublished
    ID Code56739

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