REAL-TIME 3D MODELING OF VEHICLES IN LOW-COST MONOCAMERA SYSTEMS
M. Nieto, L. Unzueta, A. Cortés, J. Barandiaran, O. Otaegui, P. Sánchez
2011
Abstract
A new method for 3D vehicle modeling in low-cost monocamera surveillance systems is introduced in this paper. The proposed algorithm aims to resolve the projective ambiguity of 2D image observations by means of the integration of temporal information and model priors within a Markov Chain Monte Carlo (MCMC) method. The method is specially designed to work in challenging scenarios, with noisy and blurred 2D observations, where traditional edge-fitting or feature-based methods fail. Tests have shown excellent estimation results for traffic-flow video surveillance applications, that can be used to classify vehicles according to their length, width and height.
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in Harvard Style
Nieto M., Unzueta L., Cortés A., Barandiaran J., Otaegui O. and Sánchez P. (2011). REAL-TIME 3D MODELING OF VEHICLES IN LOW-COST MONOCAMERA SYSTEMS . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011) ISBN 978-989-8425-47-8, pages 459-464. DOI: 10.5220/0003312104590464
in Bibtex Style
@conference{visapp11,
author={M. Nieto and L. Unzueta and A. Cortés and J. Barandiaran and O. Otaegui and P. Sánchez},
title={REAL-TIME 3D MODELING OF VEHICLES IN LOW-COST MONOCAMERA SYSTEMS},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)},
year={2011},
pages={459-464},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003312104590464},
isbn={978-989-8425-47-8},
}
in EndNote Style
TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)
TI - REAL-TIME 3D MODELING OF VEHICLES IN LOW-COST MONOCAMERA SYSTEMS
SN - 978-989-8425-47-8
AU - Nieto M.
AU - Unzueta L.
AU - Cortés A.
AU - Barandiaran J.
AU - Otaegui O.
AU - Sánchez P.
PY - 2011
SP - 459
EP - 464
DO - 10.5220/0003312104590464