Adaptive predetection and off-board track and decision level fusion for enhanced surveillance

Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems Pub Date : 1994-10-02 DOI:10.1109/MFI.1994.398424

I. Kadar

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引用次数: 3

Abstract

A perceptual reasoning system adaptively extracting, associating and fusing information from multiple sources, at various levels of abstraction, is considered as the building block for the next generation of surveillance systems. A system architecture is presented which makes use of both centralized and distributed predetection fusion combined with intelligent monitor and control coupling both on-platform and off-board track and decision level fusion results. The goal of this system is to create a "gestalt fused sensor system" whose information product is greater than the sum of the information products from the individual performance superior to either individual or sub-group of combined sensors. The application of this architectural concept to the law enforcement arena utilizing multiple spatially and temporally diverse surveillance platforms and/or information sources can be used to illustrate the benefits of the adaptive perceptual reasoning system concept.<>

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自适应预检测和船外轨道与决策级融合增强监视

感知推理系统自适应地提取、关联和融合来自多个来源的信息，在不同的抽象层次，被认为是下一代监视系统的基石。提出了一种利用集中式和分布式预检测融合结合平台上和船外轨道与决策级融合结果的智能监测与控制耦合的系统架构。该系统的目标是创建一个“格式塔融合传感器系统”，其信息产品大于单个性能优于单个或子组组合传感器的信息产品的总和。将这一建筑概念应用于执法领域，利用多个空间和时间上不同的监视平台和/或信息源，可以用来说明自适应感知推理系统概念的好处。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems

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