Abstract
The rise in prominence of safety and maintenance cost saving related issues in railway systems is becoming more and more an important driver in the design and deployment of sophisticated Wayside Train Monitoring Systems (WTMS). In the last 20 years computer vision based WTMS have evolved from simple Hot Axle Bearing Detectors (HABD) to sophisticated Video Monitoring Systems (VMS).
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Di Leo, G., Lengu, R., Mazzino, N., Paolillo, A. (2013). Pattern Recognition for Defect Detection in Uncontrolled Environment Railway Applications. In: Petrosino, A. (eds) Image Analysis and Processing – ICIAP 2013. ICIAP 2013. Lecture Notes in Computer Science, vol 8157. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41184-7_77
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DOI: https://doi.org/10.1007/978-3-642-41184-7_77
Publisher Name: Springer, Berlin, Heidelberg
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