Railway platform monitoring system using stereo vision algorithm for passenger's safety

In this paper, we propose a vision based monitoring system for passenger's safety in railway platform. The detection algorithm of the proposed system exploits stereo vision algorithm to improve system detection performance because railway platform has various illumination conditions due to train arrival and departure in the scene. The vision based monitoring system detects possible accidents, such as a fallen passenger on the track, getting stuck between the train doors, and so on, and informs operators about the accident with alarm in order to promptly make a deal with the emergency. In the paper, the system configuration, detection process and test result of detection performance are presented.