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A robust anomaly detection in pantograph-catenary system based on mean-shift tracking and foreground detection

Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013 · Aralık 2013

Makale Bilgileri

DergiProceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
Yayın TarihiAralık 2013
Özet 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.

Yazarlar (3)

1
Ilhan Aydin
ORCID: 0000-0001-6880-4935
2
Mehmet Karaköse
3
Erhan Akin
ORCID: 0000-0001-6476-9255

Anahtar Kelimeler

Catenary-pantograph interaction Computer vision Mean-shift tracking Railways

Kurumlar

Firat Üniversitesi
Elazig Turkey

Metrikler

55
Atıf
3
Yazar
4
Anahtar Kelime

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