Automated sewer pipe defect tracking in CCTV videos based on defect detection and metric learning

© 2020 Elsevier B.V. Computer vision techniques are widely studied for automating the interpretation of sewer pipe inspection videos, yet previous studies mainly focus on defect detection and segmentation of individual images, which cannot identify if the defect is the same one across consecutive vi...

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Bibliographic Details
Main Authors: Mingzhu Wang, Srinath Shiv Kumar, Jack C.P. Cheng
Format: Default Article
Published: 2020
Subjects:
Building & Construction
Engineering
Built Environment and Design
Deep learning
Computer vision
Defect counting
Defect detection
Sewer inspection
Sewer defect
Defect tracking
Online Access:https://hdl.handle.net/2134/13186790.v1
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https://hdl.handle.net/2134/13186790.v1

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