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    Model-based combined tracking and resolution enhancement

    Access Status
    Fulltext not available
    Authors
    Kuhl, Annika
    Tan, Tele
    Venkatesh, Svetha
    Date
    2008
    Type
    Conference Paper
    
    Metadata
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    Citation
    Kuhl, A. and Tan, T. and Venkatesh, S. 2008. Model-based combined tracking and resolution enhancement, in 19th International Conference on Pattern Recognition (ICPR), Dec 8-11 2008. Tampa, Florida: IEEE.
    Source Title
    The 19th International Conference on Pattern Recognition
    Source Conference
    ICPR 2008
    DOI
    10.1109/ICPR.2008.4760997
    ISBN
    9781424421756
    School
    Department of Computing
    URI
    http://hdl.handle.net/20.500.11937/25816
    Collection
    • Curtin Research Publications
    Abstract

    Wide area surveillance requires high-resolution images of the object of interest derived possibly from only low-resolution video of the whole scene. We propose a combined tracking and resolution enhancement approach that increases the resolution of the object of interest during tracking. The key idea is the use of an object-specific 3D mesh model with which we are able to track non-planar objects across a large number of frames. This model is subdivided such that every triangle is smaller than a pixel when projected into the image to facilitate super-resolution on the model rather than on the image. We apply our approach to faces and show that it outperforms interpolation methods by achieving resolution enhancement, while being less blurred.

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