Host: Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)
Name : 34th Fuzzy System Symposium
Number : 34
Location : [in Japanese]
Date : September 03, 2018 - September 05, 2018
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.