@inproceedings{07d6af3e4cdf4b59bb7d4e21aed56c34,
title = "Viola-Jones algorithm for automatic detection of hyperbolic regions in GPR profiles of bridge decks",
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.",
keywords = "Concrete Bridge-deck analysis, GPR Profiles, Hyperbola Detection, Viola-Jones",
author = "Rahman, {Mohammed Abdul} and Tarek Zayed",
year = "2018",
month = sep,
day = "21",
doi = "10.1109/SSIAI.2018.8470374",
language = "English",
series = "Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "61--64",
booktitle = "2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018 - Proceedings",
note = "2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018 ; Conference date: 08-04-2018 Through 10-04-2018",
}