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

    Research output: ThesisDoctoral Thesis

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    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
    Award date11 Aug 2016
    Publication statusUnpublished - 2016

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    Measurement errors
    Global positioning system
    Animals

    Cite this

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    title = "Tracking and modelling of multiple object dynamics in a complex environment: application to animal behaviour",
    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).",
    keywords = "Tracking, Shadowing filters, Rigid body, Pigeon flock, Animal collective, Modelling, Animal behaviour",
    author = "Zaitouny, {Ayham Ahmad}",
    year = "2016",
    language = "English",
    school = "The University of Western Australia",

    }

    TY - THES

    T1 - Tracking and modelling of multiple object dynamics in a complex environment: application to animal behaviour

    AU - Zaitouny, Ayham Ahmad

    PY - 2016

    Y1 - 2016

    N2 - 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).

    AB - 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).

    KW - Tracking

    KW - Shadowing filters

    KW - Rigid body

    KW - Pigeon flock

    KW - Animal collective

    KW - Modelling

    KW - Animal behaviour

    M3 - Doctoral Thesis

    ER -