Intrusion detection in aerial imagery for protecting pipeline infrastructure
Paheding Sidike, Almabrok E. Essa, Vijayan K. Asari · 2015
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.