CAMERA MOTION ESTIMATION USING PARTICLE FILTERS

Symeon Nikitidis, Stefanos Zafeiriou, Ioannis Pitas

2008

Abstract

In this paper a novel algorithm for estimating the parametric form of the camera motion is proposed. A novel stochastic vector field model is presented which can handle smooth motion patterns derived from long periods of stable camera movement and also can cope with rapid motion changes and periods where camera remains still. A set of rules for robust and online updating of the model parameters is also proposed, based on the Expectation Maximization algorithm. Finally, we fit this model in a particle filters framework, in order to predict the future camera motion based on current and prior knowledge.

Paper Citation

in Harvard Style

Nikitidis S., Zafeiriou S. and Pitas I. (2008). CAMERA MOTION ESTIMATION USING PARTICLE FILTERS . In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 670-673. DOI: 10.5220/0001086906700673

in Bibtex Style

@conference{visapp08,
author={Symeon Nikitidis and Stefanos Zafeiriou and Ioannis Pitas},
title={CAMERA MOTION ESTIMATION USING PARTICLE FILTERS},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={670-673},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001086906700673},
isbn={978-989-8111-21-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
TI - CAMERA MOTION ESTIMATION USING PARTICLE FILTERS
SN - 978-989-8111-21-0
AU - Nikitidis S.
AU - Zafeiriou S.
AU - Pitas I.
PY - 2008
SP - 670
EP - 673
DO - 10.5220/0001086906700673