DocumentCode
1645918
Title
Image analysis of crosswalk
Author
Shioyama, Tadayoshi ; Wu, Haiyuan ; Nishibe, Yuna ; Nakamura, Naoki ; Kitawaki, Suguru
Author_Institution
Dept. of Mech. & Syst. Eng., Kyoto Inst. of Technol., Japan
fYear
2001
Firstpage
168
Lastpage
173
Abstract
This paper proposes a method for image analysis of a crosswalk and a traffic light. The method provides information not only about the length of a crosswalk, but also about the colour of the traffic light. The length of a crosswalk is estimated by projective geometry using white lines painted on the road at a crosswalk. Furthermore, the state of the traffic light, that is, the colour of green (walk signal) or red (stop signal), is detected by searching the green (or red) traffic light using affine moment invariants. In order to evaluate the performance, experimental results estimating the length and detecting the traffic light are presented
Keywords
computational geometry; edge detection; image colour analysis; traffic engineering computing; affine moment invariants; crosswalk estimation; edge detection; image analysis; performance; projective geometry; traffic light colour; white lines; Bicycles; Cameras; Image analysis; Image color analysis; Image edge detection; Intelligent robots; Intelligent sensors; Roads; Signal detection; Time of arrival estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Analysis and Processing, 2001. Proceedings. 11th International Conference on
Conference_Location
Palermo
Print_ISBN
0-7695-1183-X
Type
conf
DOI
10.1109/ICIAP.2001.957003
Filename
957003
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