Proceedings of the Annual Conference of Biomedical Fuzzy Systems Association
Online ISSN : 2424-2586
Print ISSN : 1345-1510
ISSN-L : 1345-1510
27
Session ID : B1-1
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B1-1 Traffic Sign Detection from Self-Wearable Camera Images
Takaki KUMANO, Joo Kooi TAN, Hyoungseop KIM, Seiji ISHIKAWA
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Abstract
In recent years, the walk support equipment for visually impaired persons has spread, and a studded paving block and a sound-type signal are installed on the sidewalk. However, there are still problems that the places of installation are few with the former, and the provided information becomes obscure with the latter in the noisy environment such as heavy traffic or heavy rain. In order to solve these difficulties, this paper proposes a method of detecting pedestrian signals and traffic signs at a pedestrian crossing from a self-wearable camera. Experimental results are shown and the method is evaluated.
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© 2014 Biomedical Fuzzy Systems Association
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