A Study on Detection Method of a Pedestrian Crossing for Visually Impaired Persons Using a Mobile Photo and Corresponding Aerial Photo with a Smartphone
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- YAMADA Kentaro
- Graduate School of Environmental and Information Studies, Tokyo City University
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- OKUDAIRA Masashi
- Faculty of Informatics, Tokyo City University
Bibliographic Information
- Other Title
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- スマートフォン画像と空中写真を用いた視覚障碍者向け横断歩道抽出方式に関する検討(セッション2,学生研究発表会)
- スマートフォン画像と空中写真を用いた視覚障碍者向け横断歩道抽出方式に関する検討
- スマートフォン ガゾウ ト クウチュウ シャシン オ モチイタ シカクショウガイシャムケケ オウダン ホドウ チュウシュツ ホウシキ ニ カンスル ケントウ
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Abstract
It is difficult for visually impaired persons to recognize crosswalks, since they couldn't find correct locations of crosswalks. In this paper, a method is proposed to recognize crosswalks with a smartphone to notify them with voice guidance. The location is to be decided using a mobile photo with a smartphone and an aerial photo fetched with GoogleMapAPI based on smartphone's GPS information. Lines of crosswalks in both photos are extracted by image processing procedures such as binarization, edge detection and Hough transform. Then, the appropriate crosswalk location is decided with the lines by matching mobile photo lines and aerial photo ones. Using the additional aerial photo, recognition rate is improved compared with mobile photo based recognition, even if there are some occlusions in the mobile photo due to roadside trees, shrubberies, guardrails, cars, and so on. Experimental results with 125 images show 63% correct detection rate. It takes about 6 seconds for processing totally.
Journal
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- ITE Technical Report
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ITE Technical Report 39.8 (0), 31-34, 2015
The Institute of Image Information and Television Engineers
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Details 詳細情報について
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- CRID
- 1390001204529050752
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- NII Article ID
- 110009919335
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- NII Book ID
- AN1059086X
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- ISSN
- 24241970
- 13426893
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- NDL BIB ID
- 026250377
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed