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Multiocular surveilance of wide dynamic environments based on optical vision, event modelling and end-to-end data encryption: A cloud-based monitoring approach of maritime activities

机译:基于光学视觉,事件建模和端到端数据加密的多动态环境多眼监视:一种基于云的海上活动监视方法

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The success of contemporary surveillance systems depends on their cost and their ability to automatically and correctly interpret events that take place in an observed environment. Correct decisions enhance the situation awareness of an operator, while wrong ones lead to false or no alarms, damaging the system's credibility. In this paper a low-cost, secure, cloud-based surveillance system is described for monitoring wide dynamic environments. The focus of our current work is to present the system's overall architecture and discuss in detail the design and functionalities of its main modules: (a) the multiocular network of multispectral cameras for visual information gathering, (b) the intelligent segmentation, event modeling and anomaly detection module and (c) the end-to-end power-aware data encryption infrastructure. By following the proposed approach, different geographic areas can be successfully covered, high-level situations of interest can be modeled and secure data communication can be guaranteed, at a minimum necessary electrical and CPU power. Finally, an application scenario in the maritime domain is provided.
机译:当代监视系统的成功取决于其成本和自动,正确地解释在观察到的环境中发生的事件的能力。正确的决策可以增强操作员的态势感知能力,而错误的决策则会导致错误或无警报,从而损害系统的信誉。本文介绍了一种低成本,安全,基于云的监视系统,用于监视广泛的动态环境。我们当前工作的重点是介绍系统的整体架构,并详细讨论其主要模块的设计和功能:(a)用于视觉信息收集的多光谱摄像机的多目网络,(b)智能分段,事件建模和异常检测模块和(c)端到端电源感知数据加密基础架构。通过遵循提出的方法,可以成功覆盖不同的地理区域,可以对感兴趣的高级情况进行建模,并可以用最少的必要电力和CPU功率来保证安全的数据通信。最后,提供了海域的应用场景。

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