管道基础设施保护的航空图像入侵检测

2015 National Aerospace and Electronics Conference (NAECON) Pub Date : 2015-06-15 DOI:10.1109/NAECON.2015.7443037

P. Sidike, Almabrok E. Essa, V. Asari

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引用次数: 4

摘要

我们提出了一种自动化机制，可以检测并发出机械威胁的警告，例如施工车辆在管道路权上的存在。该方案通过对人的视觉感知概念进行建模，利用棱角和梯度直方图信息提取物体的精细细节。两个真实世界的航空图像数据集用于测试和评估。

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Intrusion detection in aerial imagery for protecting pipeline infrastructure

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.

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2015 National Aerospace and Electronics Conference (NAECON)

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