直近一年間の累計
アクセス数 : ?
ダウンロード数 : ?
ID 113537
著者
Ikuno, Takako Tokushima University
キーワード
Template matching
Genetic Algorithm
Random search
Lost property detection
資料タイプ
学術雑誌論文
抄録
In this paper, we propose an object search method which is adapted to transformation of an object to be searched to detect lost property. Object search is divided into two types; global and local searches. We used a template matching using Genetic Algorithm (GA) in the global search. Moreover we use a random search in the local search. According to experimental results, this system can detect rough position of the object to be searched. The search accuracy obtained using the present method is 83.6%, and that of a comparative experiment using only GA is 42.1%. We have verified that our proposed method is effective for lost property detection. In the future, we need to increase search accuracy to search objects more stably. In particular, we need to improve local search.
掲載誌名
Journal of the Institute of Industrial Applications Engineers
ISSN
21878811
21881758
出版者
The Institute of Industrial Applications Engineers
3
2
開始ページ
59
終了ページ
64
発行日
2015-04-25
権利情報
© 2015 The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License(https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
EDB ID
出版社版DOI
出版社版URL
フルテキストファイル
言語
eng
著者版フラグ
出版社版
部局
理工学系