A particle filter approach for multi-camera tracking systems in a large view space

Zalili Binti Musa, Junzo Watada

    Research output: Contribution to journalArticle

    7 Citations (Scopus)

    Abstract

    A video tracking system has many potential applications, particularly in security, monitoring and robotics. The most important problem in tracking systems is object motion tracking. In this paper, we present a new method that combines footstep prediction and particle filter to manage some problems inherent in manipulating a large view image space. We compare various methods and evaluate their capabilities.

    Original languageEnglish
    Pages (from-to)2827-2836
    Number of pages10
    JournalInternational Journal of Innovative Computing, Information and Control
    Volume6
    Issue number6
    Publication statusPublished - 2010 Jun

    Fingerprint

    Particle Filter
    Tracking System
    Robotics
    Camera
    Cameras
    Motion Tracking
    Image Space
    Monitoring
    Object Tracking
    Evaluate
    Prediction

    Keywords

    • Large view and human tracking
    • Multi-camera
    • Particle filter
    • Tracking system

    ASJC Scopus subject areas

    • Computational Theory and Mathematics
    • Information Systems
    • Software
    • Theoretical Computer Science

    Cite this

    A particle filter approach for multi-camera tracking systems in a large view space. / Musa, Zalili Binti; Watada, Junzo.

    In: International Journal of Innovative Computing, Information and Control, Vol. 6, No. 6, 06.2010, p. 2827-2836.

    Research output: Contribution to journalArticle

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