Automatic Urban Road Segmentation

Author: Yun-Chung Chung(Department of Information and Computer Education,National Taiwan Normal University), Jung-Ming Wang(Department of Information and Computer Education,National Taiwan Normal University),Shyang-Lih Chang(Department of Electronics Engineering,St. John’s and St. Mary’s Institute of Technology),Sei-Wang Chen(Graduate Institute of Computer Science and Information Engineering,National Taiwan Normal University)

Vol.&No.：Vol. 51, No. 1
Date：April 2006
Pages：33-46
DOI：10.6301/JNTNU.2006.51(1).03

Abstract：

Automatic road segmentation is important for many vision-based traffic applications, such as traffic surveillance, traffic flow measurement, and incident detection. Road segmentation provides useful information for precluding from further consideration the objects and activities appearing outside road areas. The proposed method, using fuzzy-shadowed set operations, consists of four major steps: background image generation, foreground object extraction, background pasting, and road localization. The experimental results reveal that the proposed method can effectively detect road areas under different environmental conditions.

Keywords：Road segmentation, Background pasting, Road localization, Fuzzy-shadowed sets

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