ITE Technical Report
Online ISSN : 2424-1970
Print ISSN : 1342-6893
ISSN-L : 1342-6893
41.05 Multi-media Storage(MMS)/Consumer Electronics(CE)/Human Information(HI)/Media Engineering(ME)/Artistic Image Technology(AIT)
Session ID : MMS2017-13
Conference information

A Note on Deformation Detection in Subway Tunnel Using Convolutional Neural Network
*Kenta ISHIHARASho TAKAHASHITakahiro OGAWAMiki HASEYAMA
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Abstract
In this paper, we investigate deformation detection in subway tunnel using Convolutional Neural Network (CNN). In Japan, appropriate management of infrastructures is currently an important task since the infrastructures constructed intensively on the high economic growth period have aged. In order to realize support technology of the maintenance inspection, we construct the deformation detection method using CNN which enables accurate image recognition. Furthermore, we compare the detection performance between the method using CNN and the method which detects the deformation using visual features.
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© 2017 The Institute of Image Information and Television Engineers
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