A Robust Anomaly Detection in Pantograph-Catenary System Based on Mean-Shift Tracking and Foreground Detection

This study presents a robust condition monitoring and anomaly detection for pantograph-catenary system. The pantograph overhead system is monitored by using a digital camera. A general framework for anomaly detection for pantograph-catenary system consists of two key components. The first component...

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Bibliographic Details
Published in2013 IEEE International Conference on Systems, Man, and Cybernetics pp. 4444 - 4449
Main Authors Aydin, Ilhan, Karakose, Mehmet, Akin, Erhan
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2013
Subjects
catenary-pantograph interaction
computer vision
Contacts
Force
Image edge detection
mean-shift tracking
Monitoring
Rail transportation
railways
Target tracking
Wires
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Summary:This study presents a robust condition monitoring and anomaly detection for pantograph-catenary system. The pantograph overhead system is monitored by using a digital camera. A general framework for anomaly detection for pantograph-catenary system consists of two key components. The first component is based on mean-shift tracking of contact wire. Therefore, the contact point between pantograph and catenary can be continuously monitored and anomaly contact to some points will be detected. The second component uses Gaussian mixture model (GMM) for foreground detection. When the foreground of the current frame has been detected, the mean-shift tracking and GMM combines trajectory-based and region-based information for detection any anomaly in pantograph-catenary interaction. The experimental results show that proposed method is useful to detect burst of arcing, and irregular positioning of contact line.
ISSN:1062-922X
DOI:10.1109/SMC.2013.757