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Automatic Detection of Utility Poles Using the Bag of Visual Words Method for Different Feature Extractors

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10425)

Abstract

One of the major problems in power distribution networks is abnormal heating associated with high resistance or excessive current flow, in which some of the affected components include three-phase transformers, switches, connectors, fuses, etc. Utility Pole detection aids in the classification of these affected components; thus, the importance of its study. In this work, we propose a method to detect the utility poles using a database of images obtained from Google Maps for the region of Campinas/SP. The Bag of Visual Words (BoVW) method was used to classify the two classes (those that are utility poles and those that are not utility poles), and know if the sub-image obtained belongs to a utility pole class.

Keywords

Hot-spots Bag of Visual Words Utility poles Abnormal heating 

Notes

Acknowledgments

The authors acknowledge the financial support from “Companhia Paulista de Força e Luz -“CPFL”, “Companhia Piratininga de Força e Luz”, “Rio Grande Energia S/A” and “Companhia Sul Paulista de Energia”. Thanks also to the companies participating in this project: KascoSys P&D and RFerrarezi, both based in the city of Campinas–Brazil.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Laboratory of Visual Communications, School of Electrical and Computer EngineeringUniversity of CampinasCampinasBrazil

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