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http://dx.doi.org/10.5762/KAIS.2012.13.12.6098

Train detection in railway platform area using image processing technology  

Oh, Sehchan (Division of Metropolitan Transportation Research Center, Korea Railroad Research Institute)
Yoon, Yongki (Division of Metropolitan Transportation Research Center, Korea Railroad Research Institute)
Baek, Jonghyun (Division of Metropolitan Transportation Research Center, Korea Railroad Research Institute)
Jo, Hyunjeong (Division of Metropolitan Transportation Research Center, Korea Railroad Research Institute)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.13, no.12, 2012 , pp. 6098-6104 More about this Journal
Abstract
Currently, dozens of CCTVs are widely used in railway station for monitoring passengers in danger and security areas. The most frequent accidents occur at the platform area where passengers boarding the train. However, It is almost impossible that station operator monitors dozens of CCTV screens and recognizes immediately accidents and handle them. Therefore, railway platform monitoring system using image processing technology which automatically detects platform accidents is needed, and in order to that, preferentially, accurate determination of train state in the platform is required. In the paper, we propose train state detection algorithm for vision based railway platform monitoring system. the proposed algorithm determines four different states i.e. trains approach(IN), departure(OUT), stop(ON), and empty(OFF) of the train, in the platform. To evaluate the proposed algorithm, we present the train detection results for the Seoul Metro Line 4 Dongjak and Namtaeryeong Station.
Keywords
Railway Platform; Vision based Monitoring System; Image Processing; Trains States;
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