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Authors: D. Nitti 1 ; G. Chliveros 2 ; M. Pateraki 2 ; L. De Raedt 1 ; E. Hourdakis 2 and P. Trahanias 2

Affiliations: 1 KU Leuven, Belgium ; 2 Foundation for Research and Technology Hellas, Greece

Keyword(s): Object Tracking, Robot Vision, Particle Filters, Distributional Clauses.

Abstract: In this position paper we propose the use of the Distributional Clauses Particle Filter in conjunction with a model-based 3D object tracking method in monocular camera sequences. We describe the model based object tracking method that is based on contour and edge features for 3D pose relative estimation. We also describe the application of the Distributional Clauses Particle Filter that takes into account inputs from object tracking. We argue that objects’ dynamics can be modeled via probabilistic rules, which makes possible to predict and utilise a pose hypothesis space for fully occluded or ‘invisible’ (hidden-away) objects that may re-appear in the camera field of view. Important issues, such as losing track of the object in a ‘total occlusion’ scenario, are discussed.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Nitti, D.; Chliveros, G.; Pateraki, M.; De Raedt, L.; Hourdakis, E. and Trahanias, P. (2014). Application of Dynamic Distributional Clauses for Multi-hypothesis Initialization in Model-based Object Tracking. In Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 1: VISAPP; ISBN 978-989-758-004-8; ISSN 2184-4321, SciTePress, pages 256-261. DOI: 10.5220/0004654002560261

@conference{visapp14,
author={D. Nitti. and G. Chliveros. and M. Pateraki. and L. {De Raedt}. and E. Hourdakis. and P. Trahanias.},
title={Application of Dynamic Distributional Clauses for Multi-hypothesis Initialization in Model-based Object Tracking},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 1: VISAPP},
year={2014},
pages={256-261},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004654002560261},
isbn={978-989-758-004-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 1: VISAPP
TI - Application of Dynamic Distributional Clauses for Multi-hypothesis Initialization in Model-based Object Tracking
SN - 978-989-758-004-8
IS - 2184-4321
AU - Nitti, D.
AU - Chliveros, G.
AU - Pateraki, M.
AU - De Raedt, L.
AU - Hourdakis, E.
AU - Trahanias, P.
PY - 2014
SP - 256
EP - 261
DO - 10.5220/0004654002560261
PB - SciTePress

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