@inProceedings{
 title = {A robust anomaly detection in pantograph-catenary system based on mean-shift tracking and foreground detection},
 type = {inProceedings},
 year = {2013},
 identifiers = {[object Object]},
 keywords = {Catenary-pantograph interaction,Computer vision,Mean-shift tracking,Railways},
 id = {d98712eb-cd8a-3473-84a6-5132e0f021b4},
 created = {2017-04-04T11:31:01.652Z},
 file_attached = {false},
 profile_id = {87d5a801-8629-3fa3-a3f9-81001241fe90},
 last_modified = {2017-04-04T11:31:01.652Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {false},
 hidden = {false},
 private_publication = {false},
 abstract = {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 meanshift tracking and GMM combines trajectory-based and regionbased information for detection any anomaly in pantographcatenary interaction. The experimental results show that proposed method is useful to detect burst of arcing, and irregular positioning of contact line. © 2013 IEEE.},
 bibtype = {inProceedings},
 author = {Aydin, I. and Karaköse, M. and Akin, E.},
 booktitle = {Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013}
}

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