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    Non-overlapping distributed tracking using particle filter

    Access Status
    Fulltext not available
    Authors
    Leoputra, Wilson
    Tan, Tele
    Lim, Fee-Lee
    Date
    2006
    Type
    Conference Paper
    
    Metadata
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    Citation
    Leoputra, W. and Tan, T. and Lim, F. 2006. Non-overlapping distributed tracking using particle filter, in Y.Y. Tang, Y.Y. et al (ed), 18th International Conference on Pattern Recognition, Aug 20-24 2006, pp. 181-185. Hong Kong: IEEE.
    Source Title
    Proceedings of the 18th International Conference on Pattern Recognition Vol 3
    Source Conference
    8th International Conference on Pattern Recognition
    DOI
    10.1109/ICPR.2006.862
    ISBN
    0769525210
    School
    Department of Computing
    URI
    http://hdl.handle.net/20.500.11937/45185
    Collection
    • Curtin Research Publications
    Abstract

    Tracking people or objects across multiple cameras is a challenging research area in visual computing especially when these cameras have non-overlapping field-of-views. The important task is to associate a target of interest with its previous appearances across time and space within the camera network. In this paper, we propose a unified tracking framework using particle filter to efficiently switch between track prediction (to deal with non-overlapping region tracking) and visual tracking. The particle filter tracking system uses a map to provide the possible trajectory information of the target as it moves within the non-overlapping regions. We implemented and tested this tracking approach in an in-house multiple cameras system. Promising results were obtained which suggested the feasibility of such an approach.

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