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Unattended Monitoring of Suspicious Behaviour for Route Surveillance

机译：无人值守监视路线监视的可疑行为

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A priori information on suspicious behaviour is e xtremely valuable for countering threats involving improvised explosive devices (IEDs). Suspicious activities along routes during expeditionary operations can be monitored by unattended networks using simple sensing nodes that can gather data for continuous monitoring of daily vehicle activity. Dedicated software yields the necessary intelligence on these activities by filtering suspicious behaviour from anomalous behaviour (including false alarms). Research has started to equip a commercially available sensor network with data analysis software. It ai ms at d emonstrating the detection of suspicious behaviour along roads, within a required time span. Three phases are distinguished. First phase is the analysis of traffic flux in a simple scenario with three networks lying at three junctions. The second phase investigates the ability to track and classify one object in this scenario, while the third phase aims to track and classify two or more objects. Findings are presented for phase one, flux measurements.
机译：有关可疑行为的先验信息对于应对涉及简易爆炸装置（IED）的威胁极为有用。无人值守的网络可以使用简单的传感节点来监视远征行动中沿途的可疑活动，这些传感节点可以收集数据以连续监视日常车辆活动。专用软件通过从异常行为（包括错误警报）中过滤可疑行为，为这些活动提供必要的情报。研究已经开始为市售的传感器网络配备数据分析软件。它旨在表明在要求的时间间隔内检测到沿路可疑行为的情况。分为三个阶段。第一阶段是在一个简单的场景中分析流量，其中三个网络位于三个交叉点。第二阶段研究在这种情况下对一个对象进行跟踪和分类的能力，而第三阶段旨在对两个或多个对象进行跟踪和分类。提出了第一阶段通量测量的结果。

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