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Conference Paper
Intelligent Visual Surveillance System for Safety Management in Railway Stations
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- Authors
- Jae-Yeong Lee, Sunglok Choi, Jaeho Lim, Saeyeong Ahn, Hodam Lee, Sangjae Lee
- Issue Date
- 2018-10
- Citation
- Asian Conference on Railway Engineering and Transportation (ART) 2018, pp.1-4
- Language
- English
- Type
- Conference Paper
- Abstract
- In this paper, we present an intelligent visual surveillance system developed for the automation of railway station safety management, which include camera calibration automation, railway intrusion detection, escalator accident detection, and high-risk intoxicated passenger detection. The purpose of the system is to protect passengers from unexpected accidents, and the related technical issues and methodologies are presented briefly.
- KSP Keywords
- Accident detection, Camera Calibration, High risk, Intelligent visual surveillance, Intrusion detection, Passenger Detection, Railway station, Visual surveillance system, safety management, technical issues