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http://dx.doi.org/10.17661/jkiiect.2018.11.2.209

A design and implementation of Intelligent object recognition system in urban railway  

Park, Ho-Sik (Department of Electronics, Osan University)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.11, no.2, 2018 , pp. 209-214 More about this Journal
Abstract
The subway, which is an urban railway, is the core of public transportation. Urban railways are always exposed to serious problems such as theft, crime and terrorism, as many passengers use them. Especially, due to the nature of urban railway environment, the scope of surveillance is widely dispersed and the range of surveillance target is rapidly increasing. Therefore, it is difficult to perform comprehensive management by passive surveillance like existing CCTV. In this paper, we propose the implementation, design method and object recognition algorithm for intelligent object recognition system in urban railway. The object recognition system that we propose is to analyze the camera images in the history and to recognize the situations where there are objects in the landing area and the waiting area that are not moving for more than a certain time. The proposed algorithm proved its effectiveness by showing detection rate of 100% for Selected area detection, 82% for detection in neglected object, and 94% for motionless object detection, compared with 84.62% object recognition rate using existing Kalman filter.
Keywords
Object Detecting; Object Tracking; Video Surveillance; Smart integrated monitoring system; urban railway;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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