Tracking and modelling of multiple object dynamics in a complex environment: application to animal behaviour

    Research output: ThesisDoctoral Thesis

    274 Downloads (Pure)

    Abstract

    A versatile tracking methodology based on shadowing filters is Introduced. This approach is easily adapted to different settings and applicable to irregularly sampled data. It can be implemented to track a single particle, a system of multiple objects, or ng1d bodies. It IS computationally cheap and outperforms alternative established methods. Our tracking technique enables us to minimise measurement errors and reconstruct the full dynamical state space from limited information. Applying the proposed method on GPS data from pigeons in a flock allows us to model the collective dynamics based on deterministic rules resulting from two major mechanisms (global-local).
    Original languageEnglish
    QualificationDoctor of Philosophy
    Awarding Institution
    • The University of Western Australia
    Supervisors/Advisors
    • Stemler, Thomas, Supervisor
    • Small, Michael, Supervisor
    • Judd, Kevin, Supervisor
    Award date11 Aug 2016
    Publication statusUnpublished - 2016

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