１．カバーシート（カバーシートフォーム）
40字×40行程度以内で以下の順に記載する。

a. 論文種類、分野
科学系分野

b. 論文題名(和文、英文)
Matching up Stone Tools and Storage Bags via Deep Learning of Stable Posture Images

c. 著者名(和文、英文)
Mengbo You (1) , Fumito Chiba (2), Kouichi Konno (1)

d. 著者所属(和文、英文)
1) Design and Media Technology, Iwate University
2) LANG CO., LTD.

e. 著者e-mail
ymb@iwate-u.ac.jp,f-chiba@lang-co.jp,konno21@iwate-u.ac.jp

f. 連絡担当者の氏名、住所、所属、電話、Fax、e-mail
氏名：游 梦博
住所：〒020-8551 岩手県盛岡市上田4-3-5
所属：岩手大学理工学部
			  システム創成工学科 知能・メディア情報コース
　　　　総合科学研究科　理工学専攻 デザイン・メディア工学コース
　　　　工学研究科　デザイン・メディア工学専攻
電話： 019-621-6470
E-mail：ymb@iwate-u.ac.jp

g. 論文概要(和文400字程度、英文100ワード程度)
Ancient stone tools excavated from ruins are important materials for archaeological research. The manufacturing process of stone tools is revealed by frequently assembling and disassembling the joining materials. Each stone tool is stored in a bag with its identification number and photo. However, storage and management of stone tools may occur human errors, such as mis-recognition and mistaking of the storage bag. This study proposes an image-based identification method to match each stone tool with its corresponding storage bag. Two commonly used stable postures were defined for each stone tool. The collected image dataset is used for deep learning of an untrained CNN model and seven pre-trained models. The experimental results showed better accuracy and processing speed than those of previous research. Finally, three of the models with high classification performances are selected to construct the detector with the YOLO framework for practical scenario.

h. キーワード(和文5個程度、英文5個程度)
stone tool identification, storage bag, stable posture, feature extraction, deep learning