IDENTIFICATION OF A PERSON WEARING A PATTERNED HELMET USING DEEP LEARNING
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- IMAI Ryuichi
- 法政大学 デザイン工学部
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- KAMIYA Daisuke
- 琉球大学 工学部
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- INOUE Haruka
- 大阪経済大学 情報社会学部
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- TANAKA Shigenori
- 関西大学 総合情報学部
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- FUJI Takuya
- 株式会社ケー・シー・エス
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- MIMURA Kentaro
- 株式会社長大
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- ITO Makoto
- 東急建設株式会社
Bibliographic Information
- Other Title
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- 深層学習を用いた模様付きヘルメットを装着した人物識別に関する研究
Abstract
<p> In order to eliminate labor accidents at the construction sites, it is important to implement effective safety management measures. For example, there is a measure that warn a person who enters a dangerous place or contact with construction machines using cameras. Many existing studies have applied deep learning in recent years, which reports that face authentica-tion, gait identification, and human identification lead to results with a higher precision than ever before. On construction sites, however, it may not be possible to apply the existing technology as operators’ clothes tend to be similar to each other and it is necessary to identify construction machines. Therefore, in this research, we focused on the helmet that workers always wear at construction sites, and proposed a method for identifying a person wearing a helmet with pattern using a convolutional neural network for deep learning. Then, we conducted an evaluation experiment of the same method for the learning model of patterns and codes, and prove the applicability of the proposed method for the safety management of construction sites.</p>
Journal
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- Journal of Japan Society of Civil Engineers, Ser. F3 (Civil Engineering Informatics)
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Journal of Japan Society of Civil Engineers, Ser. F3 (Civil Engineering Informatics) 77 (2), I_58-I_66, 2021
Japan Society of Civil Engineers
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Details 詳細情報について
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- CRID
- 1390850313414256128
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- NII Article ID
- 130007998739
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- ISSN
- 21856591
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed