Automatic Road Segmentation of Traffic Images

Chiung-Yao Fang, Han-Ping Chou, Jung-Ming Wang, Sei-Wang Chen

2015

Abstract

Automatic road segmentation plays an important role in many vision-based traffic applications. It provides a priori information for preventing the interferences of irrelevant objects, activities, and events that take place outside road areas. The proposed road segmentation method consists of four major steps: background-shadow model generation and updating, moving object detection and tracking, background pasting, and road location. The full road surface is finally recovered from the preliminary one using a progressive fuzzy theoretic shadowed sets technique. A large number of video sequences of traffic scenes under various conditions have been employed to demonstrate the feasibility of the proposed road segmentation method.

Paper Citation

in Harvard Style

Fang C., Chou H., Wang J. and Chen S. (2015). Automatic Road Segmentation of Traffic Images . 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 469-477. DOI: 10.5220/0005321904690477

in Bibtex Style

@conference{visapp15,
author={Chiung-Yao Fang and Han-Ping Chou and Jung-Ming Wang and Sei-Wang Chen},
title={Automatic Road Segmentation of Traffic Images},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={469-477},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005321904690477},
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 - Automatic Road Segmentation of Traffic Images
SN - 978-989-758-090-1
AU - Fang C.
AU - Chou H.
AU - Wang J.
AU - Chen S.
PY - 2015
SP - 469
EP - 477
DO - 10.5220/0005321904690477