Visual change detection on tunnel linings

• Published in: Machine vision and applications Vol. 27; no. 3; pp. 319 - 330
• Main Authors: Stent, Simon, Gherardi, Riccardo, Stenger, Björn, Soga, Kenichi, Cipolla, Roberto
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2016; Springer Nature B.V
• Subjects: Change detection; Clustering; Communications Engineering; Computer Science; Devices; Feature maps; Ground truth; Image detection; Image Processing and Computer Vision; Lighting; Mathematical models; Motion perception; Networks; Nuisance; Parallax; Pattern Recognition; Ranking; Special Issue Paper; Structural health monitoring; Three dimensional models; Tunnel linings; Tunnels (transportation); Vision systems; Infrastructure inspection; Structure from motion; Structural health monitoring; Tunnel inspection; Change detection; Anomaly detection
• ISSN: 0932-8092; 1432-1769
• DOI: 10.1007/s00138-014-0648-8

We describe an automated system for detecting, localising, clustering and ranking visual changes on tunnel surfaces. The system is designed to provide assistance to expert human inspectors carrying out structural health monitoring and maintenance on ageing tunnel networks. A three-dimensional tunnel surface model is first recovered from a set of reference images using Structure from Motion techniques. New images are localised accurately within the model and changes are detected versus the reference images and model geometry. We formulate the problem of detecting changes probabilistically and evaluate the use of different feature maps and a novel geometric prior to achieve invariance to noise and nuisance sources such as parallax and lighting changes. A clustering and ranking method is proposed which efficiently presents detected changes and further improves the inspection efficiency. System performance is assessed on a real data set collected using a low-cost prototype capture device and labelled with ground truth. Results demonstrate that our system is a step towards higher frequency visual inspection at a reduced cost.