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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