Viola-Jones algorithm for automatic detection of hyperbolic regions in GPR profiles of bridge decks

Mohammed Abdul Rahman, Tarek Zayed

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

3 Citations (Scopus)

Abstract

Ground Penetrating Radar (GPR) is widely utilized as a Non-destructive technique by transportation authorities for inspection of bridge decks due to its ability to identify major subsurface defects in a short span of time. The attenuation of recorded signal at rebar level form a characteristic hyperbolic shape in profiles obtained from GPR scans and corresponds to the corrosiveness state of concrete. The detection of these hyperbolic regions is of paramount importance and is a precursor to successful interpretation of GPR data. This paper aims to automate the detection of hyperbolic regions or hyperbolas in GPR profiles based on Viola-Jones Algorithm. A custom detector is obtained through training with numerous samples of hyperbolas over multiple stages. The detection is achieved through the developed detector and it was applied over a complete bridge deck for validation purpose. The eventual goal of such detection is to facilitate the automation of GPR data analysis.

Original languageEnglish
Title of host publication2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages61-64
Number of pages4
ISBN (Electronic)9781538665688
DOIs
Publication statusPublished - 21 Sep 2018
Event2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018 - Las Vegas, United States
Duration: 8 Apr 201810 Apr 2018

Publication series

NameProceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation
Volume2018-April

Conference

Conference2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018
Country/TerritoryUnited States
CityLas Vegas
Period8/04/1810/04/18

Keywords

  • Concrete Bridge-deck analysis
  • GPR Profiles
  • Hyperbola Detection
  • Viola-Jones

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

Cite this