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在不同提取级自适应提取、相关和融合多源信息的感知推理系统被看作是下一代监视系统的标准部件。提出一种采用集中式和分布式预探测融合的系统结构,它与连结平台上及机外的跟踪与决策级融合结果的智能监视器的控制器结合起来。该系统的目的是产生一个“gestalt“融合传感器系统”,其信息产品大于各个传感器的信息产品的总和,其性能优于单个传感器或优于一小组的联合传感器。这一结构概念在采用多个不同时空的监视平台和/或信息源的执法领域(例如,禁毒)里的应用可用来说明自适应感知推理系统概念的好处。
Perceptual inference systems that adaptively extract, correlate and fuse multiple sources of information at different levels of extraction are considered as standard components of next-generation surveillance systems. A system architecture that uses both centralized and distributed pre-probe fusion is proposed, which integrates with the intelligent monitor controller that integrates the tracking and decision-level fusion results both on and off the platform. The purpose of this system is to create a “gestalt” fusion sensor system whose information product is larger than the sum of the information products of the individual sensors and whose performance is better than a single sensor or better than a small group of united sensors, Applications in law enforcement areas (eg, anti-drug) of surveillance platforms and / or sources of information of different temporal and spatial scales can be used to illustrate the benefits of adaptive perceptual inference system concepts.