Proceedings of the Fuzzy System Symposium
34th Fuzzy System Symposium
Session ID : WE2-2
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Basic Research on Person Identification for Wearing Helmet Using Deep Learning
Ryuichi IMAIDaisuke KAMIYAHaruka INOUEShigenori TANAKA*Jun SAKURAIKazuma SAKAMOTOTakuya FUJIIHidekatsu KIKUCHIMakoto ITO
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Abstract

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.

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© 2018 Japan Society for Fuzzy Theory and Intelligent Informatics
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