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Authors: Chiung-Yao Fang 1 ; Han-Ping Chou 2 ; Jung-Ming Wang 1 and Sei-Wang Chen 1

Affiliations: 1 National Taiwan Normal University, Taiwan ; 2 Chung-Hua University, Taiwan

Keyword(s): Fuzzy Decision, Shadow Set, Background-Shadow Model.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Segmentation and Grouping

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 several formats:
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 (VISIGRAPP 2015) - Volume 3: VISAPP; ISBN 978-989-758-090-1; ISSN 2184-4321, SciTePress, pages 469-477. DOI: 10.5220/0005321904690477

@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 (VISIGRAPP 2015) - Volume 3: VISAPP},
year={2015},
pages={469-477},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005321904690477},
isbn={978-989-758-090-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 3: VISAPP
TI - Automatic Road Segmentation of Traffic Images
SN - 978-989-758-090-1
IS - 2184-4321
AU - Fang, C.
AU - Chou, H.
AU - Wang, J.
AU - Chen, S.
PY - 2015
SP - 469
EP - 477
DO - 10.5220/0005321904690477
PB - SciTePress

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