Document Type

Conference Paper

Publication Date

2-2015

Publication Source

Proceedings of SPIE 9408, Imaging and Multimedia Analytics in a Web and Mobile World 2015

Abstract

The pipeline industry has millions of miles of pipes buried along the length and breadth of the country. Since none of the areas through which pipelines run are to be used for other activities, it needs to be monitored so as to know whether the right-of-way (RoW) of the pipeline is encroached upon at any point in time.

Rapid advances made in the area of sensor technology have enabled the use of high end video acquisition systems to monitor the RoW of pipelines. The images captured by aerial data acquisition systems are affected by a host of factors that include light sources, camera characteristics, geometric positions and environmental conditions.

We present a multistage framework for the analysis of aerial imagery for automatic detection and identification of machinery threats along the pipeline RoW which would be capable of taking into account the constraints that come with aerial imagery such as low resolution, lower frame rate, large variations in illumination, motion blurs, etc. The proposed framework is described from three directions.

In the first part of the framework, a method is developed to eliminate regions from imagery that are not considered to be a threat to the pipeline. This method makes use of monogenic phase features into a cascade of pre-trained classifiers to eliminate unwanted regions.

The second part of the framework is a part-based object detection model for searching specific targets which are considered as threat objects.

The third part of the framework is to assess the severity of the threats to pipelines in terms of computing the geolocation and the temperature information of the threat objects. The proposed scheme is tested on the real-world dataset that were captured along the pipeline RoW.

Inclusive pages

940802-1 to 940802-10

ISBN/ISSN

0277-786X

Document Version

Published Version

Comments

This document is provided for download in compliance with the publisher's policy on self-archiving. Permission documentation is on file.

DOI: http://dx.doi.org/10.1117/12.2086905

Publisher

Society of Photo-optical Instrumentation Engineers

Volume

9408

Place of Publication

San Francisco, CA


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