Application of Dynamic Distributional Clauses for Multi-hypothesis Initialization in Model-based Object Tracking

D. Nitti, G. Chliveros, M. Pateraki, L. De Raedt, E. Hourdakis, P. Trahanias

2014

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.

Paper Citation

in Harvard Style

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 - Volume 2: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-004-8, pages 256-261. DOI: 10.5220/0004654002560261

in Bibtex Style

@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 - Volume 2: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={256-261},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004654002560261},
isbn={978-989-758-004-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)
TI - Application of Dynamic Distributional Clauses for Multi-hypothesis Initialization in Model-based Object Tracking
SN - 978-989-758-004-8
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