Real-Time Estimation of Camera Orientation by Tracking Orthogonal Vanishing Points in Videos

Wael Elloumi, Sylvie Treuillet, Rémy Leconge

2013

Abstract

In man-made urban environments, vanishing points are pertinent visual cues for navigation task. But estimating the orientation of an embedded camera relies on the ability to find a reliable triplet of orthogonal vanishing points in real-time. Based on previous works, we propose a pipeline to achieve an accurate estimation of the camera orientation while preserving a short processing time. Our algorithm pipeline relies on two contributions: a novel sampling strategy among finite and infinite vanishing points extracted with a RANSAC-based line clustering and a tracking along a video sequence to enforce the accuracy and the robustness by extracting the three most pertinent orthogonal directions. Experiments on real images and video sequences show that the proposed strategy for selecting the triplet of vanishing points is pertinent as our algorithm gives better results than the recently published RNS optimal method (Mirzaei, 2011), in particular for the yaw angle, which is actually essential for navigation task.

Paper Citation

in Harvard Style

Elloumi W., Treuillet S. and Leconge R. (2013). Real-Time Estimation of Camera Orientation by Tracking Orthogonal Vanishing Points in Videos . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-48-8, pages 215-222. DOI: 10.5220/0004214102150222

in Bibtex Style

@conference{visapp13,
author={Wael Elloumi and Sylvie Treuillet and Rémy Leconge},
title={Real-Time Estimation of Camera Orientation by Tracking Orthogonal Vanishing Points in Videos },
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={215-222},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004214102150222},
isbn={978-989-8565-48-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)
TI - Real-Time Estimation of Camera Orientation by Tracking Orthogonal Vanishing Points in Videos
SN - 978-989-8565-48-8
AU - Elloumi W.
AU - Treuillet S.
AU - Leconge R.
PY - 2013
SP - 215
EP - 222
DO - 10.5220/0004214102150222