2015 National Aerospace and Electronics Conference
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.
Copyright © 2015, IEEE
Place of Publication
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.