Route Segmentation into Speed Limit Categories by using Image Analysis

Philippe Foucher, Emmanuel Moebel, Pierre Charbonnier

2015

Abstract

In this contribution, we address the problem of road sequence segmentation into speed limit categories, as perceived by the user. We propose an algorithm that is based on two processing steps. First, the images are classified independently using a standard random forest algorithm. Low-level and high-level approaches are proposed and compared. In the second phase, a sequential smoothing of the results using different filters is applied. An evaluation based on two databases of images with ground truth shows the pros and cons of the methods.

Paper Citation

in Harvard Style

Foucher P., Moebel E. and Charbonnier P. (2015). Route Segmentation into Speed Limit Categories by using Image Analysis . In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-090-1, pages 416-423. DOI: 10.5220/0005312704160423

in Bibtex Style

@conference{visapp15,
author={Philippe Foucher and Emmanuel Moebel and Pierre Charbonnier},
title={Route Segmentation into Speed Limit Categories by using Image Analysis},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={416-423},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005312704160423},
isbn={978-989-758-090-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015)
TI - Route Segmentation into Speed Limit Categories by using Image Analysis
SN - 978-989-758-090-1
AU - Foucher P.
AU - Moebel E.
AU - Charbonnier P.
PY - 2015
SP - 416
EP - 423
DO - 10.5220/0005312704160423