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Conferences > OFS > 2020 > T3 > T3.77

Watershed Algorithm Based Automatic Spatio-Temporal Event Localization on Fiber Optic Sensor Data for Railway Domain Applications

Abdelkader Hamadi, Emma Montarsolo, Ali Kabalan, Gabriel Papaiz Garbini, and Tarik Hammi

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Abstract

This article introduces a two-step method for automatic spatio-temporal events localization, in railway environment based on Optical DAS system. A preprocessing is applied to remove unnecessary information. Then, the watershed algorithm is used to locate and delimit the events. This allows to filter the data to treat which could then be pushed to a machine learning system for events recognition.

© 2020 The Author(s)

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