[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.3807/JOSK.2010.14.4.451

3D Vision-based Security Monitoring for Railroad Stations

Park, Young-Tae (College of Electronics and Information, Kyung Hee University)
Lee, Dae-Ho (College of Liberal Arts, Kyung Hee University)

Publication Information

Journal of the Optical Society of Korea / v.14, no.4, 2010 , pp. 451-457 More about this Journal

Abstract

Increasing demands on the safety of public train services have led to the development of various types of security monitoring systems. Most of the surveillance systems are focused on the estimation of crowd level in the platform, thereby yielding too many false alarms. In this paper, we present a novel security monitoring system to detect critically dangerous situations such as when a passenger falls from the station platform, or when a passenger walks on the rail tracks. The method is composed of two stages of detecting dangerous situations. Objects falling over to the dangerous zone are detected by motion tracking. 3D depth information retrieved by the stereo vision is used to confirm fallen events. Experimental results show that virtually no error of either false positive or false negative is found while providing highly reliable detection performance. Since stereo matching is performed on a local image only when potentially dangerous situations are found; real-time operation is feasible without using dedicated hardware.

Keywords

Safety; Security monitoring system; Surveillance; Dangerous situation; Stereo vision;

Citations & Related Records

Times Cited By KSCI : 2 (Citation Analysis)
Times Cited By Web Of Science : 0 (Related Records In Web of Science)
Times Cited By SCOPUS : 2

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