一个视觉传感平台,用于创建一个更智能的多模式海洋监测网络

MAED '12 Pub Date : 2012-11-02 DOI:10.1145/2390832.2390846
Dian Zhang, Edel O'Connor, Kevin McGuinness, N. O’Connor, F. Regan, A. Smeaton
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引用次数: 10

摘要

各种科学和管理界的需求以及国家和国际各级的立法要求导致需要进行创新研究,对我们的海洋和淡水环境进行大规模、低成本、可靠的监测。在本文中,我们展示了多模态监测方法的好处,以及如何通过使用上下文图像数据来增强原位传感器网络。我们概述了在繁忙的港口部署视觉传感系统以及监控港口航运交通的必要性。随后,我们提出了一种在具有挑战性的图像数据集中检测船舶的方法,并讨论了如何帮助创建智能海洋监测网络。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A visual sensing platform for creating a smarter multi-modal marine monitoring network
Demands from various scientific and management communities along with legislative requirements at national and international levels have led to a need for innovative research into large-scale, low-cost, reliable monitoring of our marine and freshwater environments. In this paper we demonstrate the benefits of a multi-modal approach to monitoring and how an in-situ sensor network can be enhanced with the use of contextual image data. We provide an outline of the deployment of a visual sensing system at a busy port and the need for monitoring shipping traffic at the port. Subsequently we present an approach for detecting ships in a challenging image dataset and discuss how this can help to create an intelligent marine monitoring network.
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