Statistical models for tracking different moving bodies must be able to reason about occlusions in order to be effective. Representing the joint statistics across different bodies is computationally hard, since the size of the representation grows exponentially with the number of bodies being tracked. Separable tracking, with one tracker per body, cannot deal with occlusions effectively. We propose a new model, dubbed Hybrid Joint-Separable (HJS), that uses a representation size that grows linearly with the number of bodies, and a computational complexity that grows quadratically. This model can reason explicitly about occlusions. We describe a particle filter implementation of this model, and present promising experimental results.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Hybrid joint-separable multibody tracking


    Contributors:
    Lanz, O. (author) / Manduchi, R. (author)


    Publication date :

    2005-01-01


    Size :

    599299 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    A Hybrid Formulation for Modelling Multibody Spacecraft

    Pisculli, A. / Felicetti, L. / Sabatini, M. et al. | Online Contents | 2015


    A Hybrid Formulation for Modelling Multibody Spacecraft

    Pisculli, A. / Felicetti, L. / Sabatini, M. et al. | Springer Verlag | 2015


    Separable flow guide pipe butt joint device

    YANG CHANGHAO / FU ZIJING / QI YUFENG et al. | European Patent Office | 2020

    Free access

    Tracking control for underactuated non-minimum phase multibody systems

    Berger, Thomas / Drücker, Svenja / Lanza, Lukas et al. | BASE | 2021

    Free access