@article{oai:kyutech.repo.nii.ac.jp:00006649,
 author = {Kumano, Takaki and Tan, Joo kooi and タン, ジュークイ and Kim, Hyungseop and 金, 亨燮 and 石川, 聖二 and Ishikawa, Seiji},
 issue = {2},
 journal = {ICIC Express Letters, Part B: Applications},
 month = {Feb},
 note = {In recent years, the equipment on walk support for visually impaired persons has spread to a certain extent. A studded paving block and a sound-type signal are set on the sidewalk or on the road in many places. However, there are still problems such that the studded paving block is still installed at limited places, or the sound of the signal is obscure because of the environmental noise such as roaring traffic or heavy rain. Therefore, a system that can support visually impaired persons in more effective way is necessary, such as a system which finds a signal or a traffic sign automatically and provides its information to the visually impaired. In order to realize such a system, this paper proposes a method of detecting pedestrian signals and crosswalk signs by a camera and a computer which we call MY VISION system. In the proposed method, color information is used in the first step to restrict the search for traffic signal and sign candidates, and then the HOG feature is introduced to describe the candidates by feature vectors. Recognition of the signals and the signs is performed by applying randomized trees to the candidates. The color sign of the pedestrian signal is also discriminated by using color information.Experimental results are shown and the method is evaluated.},
 pages = {385--391},
 title = {Traffic signs and signals detection employing the MY VISION system for a visually impaired person},
 volume = {7},
 year = {2016},
 yomi = {イシカワ, セイジ}
}