Automated Anomaly Detection and Localization in Sewer Inspection Videos Using Proportional Data Modeling and Deep Learning–Based Text Recognition

Title
Automated Anomaly Detection and Localization in Sewer Inspection Videos Using Proportional Data Modeling and Deep Learning–Based Text Recognition
Authors
Keywords
-
Journal
Journal of Infrastructure Systems
Volume 26, Issue 3, Pages 04020018
Publisher
American Society of Civil Engineers (ASCE)
Online
2020-04-24
DOI
10.1061/(asce)is.1943-555x.0000553

Ask authors/readers for more resources

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started