Document Type
Conference Paper
Publication Date
6-2015
Publication Source
2015 National Aerospace and Electronics Conference
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
Copyright
Copyright © 2015, IEEE
Publisher
IEEE
Place of Publication
Dayton, OH
eCommons Citation
Sidike, Paheding; Essa, Almabrok; and Asari, Vijayan K., "Intrusion Detection in Aerial Imagery for Protecting Pipeline Infrastructure" (2015). Electrical and Computer Engineering Faculty Publications. 393.
https://ecommons.udayton.edu/ece_fac_pub/393
Included in
Computer-Aided Engineering and Design Commons, Electrical and Computer Engineering Commons
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.