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    Measures for the evaluation of segmentation methods used in model based people tracking methods

    Access Status
    Fulltext not available
    Authors
    John, Gladis
    West, Geoff
    Lazarescu, Mihai
    Date
    2009
    Type
    Conference Paper
    
    Metadata
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    Citation
    John, G. and West, G. and Lazarescu, M. 2009. Measures for the evaluation of segmentation methods used in model based people tracking methods, in Lin, C.-Y. and Cox, I. (ed), ICME, Jun 28-30 2009, pp. 646-649. New York, NY, USA: IEEE Press.
    Source Title
    Proceedings of the 2009 IEEE international conference on Multimedia and Expo
    Source Conference
    ICME 2009
    DOI
    10.1109/ICME.2009.5202579
    ISBN
    9781424442904
    School
    Department of Computing
    URI
    http://hdl.handle.net/20.500.11937/3325
    Collection
    • Curtin Research Publications
    Abstract

    This paper proposes a number of methods to evaluate features in the context of people tracking in complex environments. Such environments will have varying lighting conditions (the subject of this paper), occlusions by other people and objects, as well as a varying number of people. The paper concentrates on edge features because of their insensitivity to changes in illumination and camera movements. It assumes that some form of model-based processing will be used for recognition and tracking so as to be able to deal with partially visible people. This requires the adaptive choice of what parts of people need to be tracked using the best combination of features. A number of measures are proposed to quantify edge performance that are illustrated for a number of edge detectors on a number of video sequences that have different properties or contexts.

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