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Basic Research on Person Identification for Wearing Helmet Using Deep Learning
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- IMAI Ryuichi
- Tokyo City University
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- KAMIYA Daisuke
- University of the Ryukyus
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- INOUE Haruka
- Kansai University
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- TANAKA Shigenori
- Kansai University
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- SAKURAI Jun
- Kansai University Graduate School
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- SAKAMOTO Kazuma
- Kansai University Graduate School
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- FUJII Takuya
- KCS Co., LTD
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- KIKUCHI Hidekatsu
- Chodai Co., LTD
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- ITO Makoto
- Tokyu Construction Co., LTD
Bibliographic Information
- Other Title
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- 深層学習を用いたヘルメット着用の人物識別の基礎研究
Description
<p>In recent years, it is expected to improve the efficiency of criminal investigation and flow line analysis in facilities using surveillance cameras. Furthermore, it will be the safety measures that workers are identified when they are in dangerous areas of construction sites. For these reasons, automatic person identification technology is desired. As for the existing researches using deep learning, there are many approaches like face authentication, gait identification and person identification. However, in these methods, there have some problems to identify the person. Therefore, in this research, we propose a method using deep learning to identify person wearing a helmet.</p>
Journal
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- Proceedings of the Fuzzy System Symposium
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Proceedings of the Fuzzy System Symposium 34 (0), 859-860, 2018
Japan Society for Fuzzy Theory and Intelligent Informatics
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Details 詳細情報について
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- CRID
- 1390282763085278848
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- NII Article ID
- 130007554422
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed