COMBINATION OF VIDEO-BASED CAMERA TRACKERS USING A DYNAMICALLY ADAPTED PARTICLE FILTER

David Marimon, Touradj Ebrahimi

Abstract

This paper presents a video-based camera tracker that combines marker-based and feature point-based cues in a particle filter framework. The framework relies on their complementary performance. Marker-based trackers can robustly recover camera position and orientation when a reference (marker) is available, but fail once the reference becomes unavailable. On the other hand, feature point tracking can still provide estimates given a limited number of feature points. However, these tend to drift and usually fail to recover when the reference reappears. Therefore, we propose a combination where the estimate of the filter is updated from the individual measurements of each cue. More precisely, the marker-based cue is selected when the marker is available whereas the feature point-based cue is selected otherwise. The feature points tracked are the corners of the marker. Evaluations on real cases show that the fusion of these two approaches outperforms the individual tracking results. Filtering techniques often suffer from the difficulty of modeling the motion with precision. A second related topic presented is an adaptation method for the particle filer. It achieves tolerance to fast motion manoeuvres.

Download


Paper Citation


in Harvard Style

Marimon D. and Ebrahimi T. (2007). COMBINATION OF VIDEO-BASED CAMERA TRACKERS USING A DYNAMICALLY ADAPTED PARTICLE FILTER . In Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, ISBN 978-972-8865-74-0, pages 363-370. DOI: 10.5220/0002048903630370


in Bibtex Style

@conference{visapp07,
author={David Marimon and Touradj Ebrahimi},
title={COMBINATION OF VIDEO-BASED CAMERA TRACKERS USING A DYNAMICALLY ADAPTED PARTICLE FILTER},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,},
year={2007},
pages={363-370},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002048903630370},
isbn={978-972-8865-74-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,
TI - COMBINATION OF VIDEO-BASED CAMERA TRACKERS USING A DYNAMICALLY ADAPTED PARTICLE FILTER
SN - 978-972-8865-74-0
AU - Marimon D.
AU - Ebrahimi T.
PY - 2007
SP - 363
EP - 370
DO - 10.5220/0002048903630370