A multi-camera tracking system that can always select a better view to perform tracking

Shih Wei Sun*, Hsing Yuan Lo, Hong Ju Lin, Yong-Sheng Chen, Fay Huang, Hong Yuan Mark Liao

*Corresponding author for this work

    Research output: Contribution to conferencePaperpeer-review

    4 Scopus citations

    Abstract

    In this paper, we propose a new multiple-camera people tracking system that is equipped with the following functions: (1) can handle long-term occlusions, complete occlusions, and unpredictable motions; (2) can detect arbitrary sized foreground objects; (3) can detect objects with much faster speed. The main contribution of our method is twofold: 1) An Mto-one relationship with only point homography matching for occlusion detection can achieve efficiency; 2) A view-hopping technique based on object motion probability (OMP) is proposed to automatically select an appropriate observation view for tracking a human subject.

    Original languageEnglish
    Pages373-379
    Number of pages7
    StatePublished - 1 Dec 2009
    EventAsia-Pacific Signal and Information Processing Association 2009 Annual Summit and Conference, APSIPA ASC 2009 - Sapporo, Japan
    Duration: 4 Oct 20097 Oct 2009

    Conference

    ConferenceAsia-Pacific Signal and Information Processing Association 2009 Annual Summit and Conference, APSIPA ASC 2009
    Country/TerritoryJapan
    CitySapporo
    Period4/10/097/10/09

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