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Authors: Oliver Greß and Stefan Posch

Affiliation: Martin Luther University Halle-Wittenberg, Germany

Keyword(s): Probabilistic Tracking, Multiple Targets, Data Association, Monte Carlo.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Tracking and Visual Navigation

Abstract: Association of observations to underlying targets is a crucial task in probabilistic tracking of multiple targets. The Rao-Blackwellized Monte Carlo Data Association (RBMCDA) framework circumvents the combinatorial explosion by approximating the joint distribution of targets and association variables by Monte Carlo samples in the space of association variables. We present a parametric data association prior distribution required by RBMCDA, which models the formation of observations. To sample from this distribution an efficient algorithm is developed. The Interacting Multiple Models (IMM) filter is integrated into the RBMCDA framework to model the changing dynamics of targets aiming at tracking small particles in microscopy images. The proposed method is evaluated in a proof of concept and evaluated using synthetic data.

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Paper citation in several formats:
Greß, O. and Posch, S. (2012). PARAMETRIC DATA ASSOCIATION PRIOR FOR MULTI-TARGET TRACKING BASED ON RAO-BLACKWELLIZED MONTE CARLO DATA ASSOCIATION. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 1: VISAPP; ISBN 978-989-8565-04-4; ISSN 2184-4321, SciTePress, pages 387-394. DOI: 10.5220/0003863103870394

@conference{visapp12,
author={Oliver Greß. and Stefan Posch.},
title={PARAMETRIC DATA ASSOCIATION PRIOR FOR MULTI-TARGET TRACKING BASED ON RAO-BLACKWELLIZED MONTE CARLO DATA ASSOCIATION},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 1: VISAPP},
year={2012},
pages={387-394},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003863103870394},
isbn={978-989-8565-04-4},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 1: VISAPP
TI - PARAMETRIC DATA ASSOCIATION PRIOR FOR MULTI-TARGET TRACKING BASED ON RAO-BLACKWELLIZED MONTE CARLO DATA ASSOCIATION
SN - 978-989-8565-04-4
IS - 2184-4321
AU - Greß, O.
AU - Posch, S.
PY - 2012
SP - 387
EP - 394
DO - 10.5220/0003863103870394
PB - SciTePress

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