Seat Belt Detection Using Genetic Algorithm-Based Template Matching

カテゴリ: 論文誌(論文単位)

グループ名: 【D】産業応用部門（英文）

発行日: 2024/01/01

タイトル(英語): Seat Belt Detection Using Genetic Algorithm-Based Template Matching

著者名: Junya Sato (Faculty of Engineering, Gifu University), Yueqi Zhao (Graduate school of Arts and Sciences, Iwate University), Takuya Akashi (Faculty of Science and Engineering, Iwate University)

著者名(英語): Junya Sato (Faculty of Engineering, Gifu University), Yueqi Zhao (Graduate school of Arts and Sciences, Iwate University), Takuya Akashi (Faculty of Science and Engineering, Iwate University)

キーワード: seat belt detection，template matching，genetic algorithm

要約(英語): In this study, we focused on detecting seat belts of drivers from camera images of the front windshield area of cars. When the color of the seat belt differs from that of the clothing worn by the driver, the seat belt can be detected by focusing on edge and pixel value differences. This study created a template representing pixel value differences and applied template matching using a genetic algorithm to achieve higher detection rates than edge-based methods. To quantitatively evaluate the performance, we created a dataset consisting of 73 images and compared the performances of each method. Notably, the proposed method achieved higher detection rates than the other methods.

本誌: IEEJ Journal of Industry Applications Vol.13 No.1 （2024）

本誌掲載ページ: 91-97 p

原稿種別: 論文／英語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejjia/13/1/13_23006981/_article/-char/ja/