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Intrusion Detection in Aerial Imagery for Protecting Pipeline Infrastructure
2015 National Aerospace and Electronics Conference
  • Paheding Sidike, University of Dayton
  • Almabrok Essa, University of Dayton
  • Vijayan K. Asari, University of Dayton
Document Type
Conference Paper
Publication Date
6-1-2015
Abstract

We present an automated mechanism that can detect and issue warnings of machinery threat such as the presence of construction vehicles on pipeline right-of-way. The proposed scheme models the human visual perception concepts to extract fine details of objects by utilizing the corners and gradient histogram information in pyramid levels. Two real-world aerial image datasets are used for testing and evaluation.

Inclusive pages
1-3
ISBN/ISSN
2379-2027
Document Version
Postprint
Comments

The document available for download is the authors' accepted manuscript, provided in compliance with the publisher's policy on self-archiving. Permission documentation is on file.

Some differences may exist between this version and the published version; as such, researchers wishing to quote directly from this source are advised to consult the version of record.

Publisher
IEEE
Place of Publication
Dayton, OH
Citation Information
Paheding Sidike, Almabrok Essa and Vijayan K. Asari. "Intrusion Detection in Aerial Imagery for Protecting Pipeline Infrastructure" 2015 National Aerospace and Electronics Conference (2015)
Available at: http://works.bepress.com/vijayan_asari/17/