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Fusion of acoustic measurements with video surveillance for estuarinethreat detection

机译:用于雌氢乙酸检测的视频监控的声学测量融合

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Stevens Institute of Technology has established a research laboratory environment in support of the U.S. Navy in the area of Anti-Terrorism and Force Protection. Called the Maritime Security Laboratory, or MSL, it provides the capabilities of experimental research to enable development of novel methods of threat detection in the realistic environment of the Hudson River Estuary. In MSL, this is done through a multi-modal interdisciplinary approach. In this paper, underwater acoustic measurements and video surveillance are combined. Stevens' researchers have developed a specialized prototype video system to identify, video-capture, and map surface ships in a sector of the estuary. The combination of acoustic noise with video data for different kinds of ships in Hudson River enabled estimation of sound attenuation in a wide frequency band. Also, it enabled the collection of a noise library of various ships that can be used for ship classification by passive acoustic methods. Acoustics and video can be used to determine a ship's position. This knowledge can be used for ship noise suppression in hydrophone arrays in underwater threat detection. Preliminary experimental results of position determination are presented in the paper.
机译:史蒂文斯理工学院建立了一个研究实验室环境,支持了反恐和部队保护领域的美国海军。它称为海上安全实验室或MSL,它提供了实验研究的能力,以便在哈德逊河口的现实环境中实现新的威胁检测方法。在MSL中,这是通过多模态跨学科方法完成的。在本文中,组合了水下声学测量和视频监控。 Stevens的研究人员已经开发了专门的原型视频系统来识别,视频捕获和地图河口的地面船舶。哈德逊河不同种类船舶视频数据的声噪声的组合使得在宽频带中的声音衰减估计。此外,它使各种船舶的噪声库的集合能够通过被动声学方法用于船舶分类。声学和视频可用于确定船舶的位置。这种知识可用于水下威胁检测中的水听器阵列中的船舶噪声抑制。纸张中提出了位置测定的初步实验结果。

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