A robust road marking detection method with pseudo-top-view images for creating database

Author

Hara, Takayuki ; Aoki, Yoshimitsu

Author_Institution

Keio Univ., Yokohama, Japan

fYear

2011

fDate

9-11 Feb. 2011

Firstpage

1

Lastpage

5

Abstract

This paper presents a method to detect road markings on top-view road images, which are pseudo-top-view images created by transforming each frames in foreground drive videos under influence of difference of brightness caused by varying photography environment. Road markings in pseudo-top-view images appear differently due to the variation of shadow and markings´ line faded. Therefore, the recognition process of road markings is difficult in real environment. Our method used shadow detection and run-length compensation for robust recognition. Detected markings are registered to database for car navigation system, and then it will enable to sound a warning when approaching to a point of caution.

Keywords

driver information systems; object detection; video signal processing; car navigation system; foreground drive videos; pseudo-top-view images; recognition process; robust road marking detection method; run-length compensation; shadow detection; Accidents; Driver circuits; Global Positioning System; Image color analysis; Pixel; Roads; Videos; drive video; pseudo-top-view image; road marking; run-length compensation;

fLanguage

English

Publisher

ieee

Conference_Titel

Frontiers of Computer Vision (FCV), 2011 17th Korea-Japan Joint Workshop on

Conference_Location

Ulsan

Print_ISBN

978-1-61284-677-4

Electronic_ISBN

978-1-61284-676-7

Type

conf

DOI

10.1109/FCV.2011.5739713

Filename

5739713