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A machine learning method for reducing the false positives in power line detection

Alexander Cerón, Flavio Prieto

Abstract



Most of the line detection methods used for power line detection are not able to differentiate the power lines from the different background lines present at a real scene in images taken from a top down view. For this reason a method for improving the power line detection is proposed. This method uses a combination of the conventional line detection methods and the HOG descriptor in a machine learning approach based on Support Vector Machine (SVM). This method is validated with real images taken from an Unmanned Aerial Vehicle (UAV). The experimental results show that our method of power line detection can reduce substantially the number of false positives in power line detection using images taken from a top down view.

Keywords


aerial image, machine learning, power line detection, UAV.

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