Title :
Intrusion detection in aerial imagery for protecting pipeline infrastructure
Author :
Paheding Sidike;Almabrok Essa;Vijayan Asari
Author_Institution :
Department of Electrical and Computer Engineering, University of Dayton, Dayton, Ohio, USA
fDate :
6/1/2015 12:00:00 AM
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.
Keywords :
"Feature extraction","Pipelines","Vehicles","Histograms","Discrete Fourier transforms","Computer vision","Intrusion detection"
Conference_Titel :
Aerospace and Electronics Conference (NAECON), 2015 National
Electronic_ISBN :
2379-2027
DOI :
10.1109/NAECON.2015.7443037
