家庭用ビデオカメラ動画像からの道路交通信号認識

Material type: 文書・図像類

Author: 森, 裕奨ほか

Publisher: 愛知工業大学

Publication date: 2010-03-31

Material Format: Digital

Capacity, size, etc.: -

NDC: -

View All

Notes on use

Note (General)：: According to the progress of aged society, aged drivers are increasing in Japan. An aged driver has higher risks of accidents because of declining dri...

Search by Bookstore

Holdings of Libraries in Japan

This page shows libraries in Japan other than the National Diet Library that hold the material.

List of Cooperating Institutions and Databases

Please contact your local library for information on how to use materials or whether it is possible to request materials from the holding libraries.

other

AIT Associated Repository of Academic Resources
Digital
You can check the holdings of institutions and databases with which Institutional Repositories DataBase(IRDB)(Institutional Repository) is linked at the site of Institutional Repositories DataBase(IRDB)(Institutional Repository).
AIT Associated Repository of Academic Resources

Search by Bookstore

Bibliographic Record

You can check the details of this material, its authority (keywords that refer to materials on the same subject, author's name, etc.), etc.

Digital

Material Type: 文書・図像類
Title: 家庭用ビデオカメラ動画像からの道路交通信号認識
Author/Editor: 森, 裕奨
江口, 一彦
Author Heading: 森, 裕奨
江口, 一彦
Publication, Distribution, etc.: 愛知工業大学
Publication Date: 2010-03-31
Publication Date (W3CDTF): 2010-03-31
Alternative Title: カテイヨウ　ビデオカメラ　ドウガゾウ　カラノ　ドウロ　コウツウ　シンゴウ　ニンシキ
Traffic Light Recognition from the Video Image of Home Video Camera
Periodical title: 愛知工業大学研究報告 = Bulletin of Aichi Institute of Technology
No. or year of volume/issue: 45
Volume: 45
Pages: 109-114
ISSN (Periodical Title): ISSN : 1883-3217
Text Language Code: jpn
Target Audience: 一般
Note (General): According to the progress of aged society, aged drivers are increasing in Japan. An aged driver has higher risks of accidents because of declining driving skill. Therefore, it is highly desired to develop systems assisting aged drivers. In the case of study to support drivers, various fields of recognition are in progress such as traffic lane, traffic sign, traffic signal and so on. However not many studies have been made to recognize traffic signals from real-time video images. In this paper authors developed and verified a method to extract traffic signals from real-time video images both in daytime and nighttime.
identifier:http://repository.aitech.ac.jp/dspace/handle/11133/1471
Access Restrictions: 限定公開
Periodical Title (NCID): AA12337561
https://ci.nii.ac.jp/ncid/AA12337561
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 愛知工業大学 : 愛知工業大学学術情報リポジトリ