The Journal of the Korea institute of electronic communication sciences (한국전자통신학회논문지)

Korea Institute of Electronic Communication Science (한국전자통신학회)
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Analysis of Vision based Technology for Smart Railway Station System

스마트 철도역사시스템 구축을 위한 영상기반 기술 분석

  • Lee, Sang-Hak (Dept. of Electric Railway Convergence Engineering, Dongyang University)
  • 이상학 (동양대학교 철도전기융합학과)
  • Received : 2018.06.25
  • Accepted : 2018.10.15
  • Published : 2018.10.31
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Abstract

These days there are many researches on the vision based technology using deep learning. The lots of studies on the intelligent operation and maintenance for railway station system used technologies with vision analysis function. This paper analyzes the papers which studied the intelligent station system with vision analysis function for passengers and facilities monitoring, platform monitoring, fire monitoring, and effective operation and design. Also, this paper proposes research which uses the more powerful vision technology with deep-learning for smart railway station system.

최근에는 딥러닝 기술 등을 활용한 영상기반 기술들이 많이 연구되고 있다. 또한 영상기반 기술을 철도역사 시스템에 적용한 지능형 운영 및 관리 시스템 개발을 위한 많은 연구들이 있다. 따라서 본 논문에서는 철도역사 승객 및 시설 감시, 철도승강장 감시, 철도역사 화재 감시, 그리고 철도역사 운용 및 설계를 더욱 효율적으로 할 수 있는 스마트 철도역사시스템 구축을 위하여 영상기반 기술을 활용한 국내외 연구들을 분석한다. 그리고 앞으로 새로운 영상기반 기술을 적용하여 스마트 철도역사시스템 구축에 필요한 시스템을 개발하는 연구의 방향을 제시한다.

Keywords

References

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