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.

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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