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The Use of Gamma-Ray Imaging to Improve Portal Monitor Performance

机译：使用Gamma射线成像来改善门户监测性能

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We have constructed a prototype, rapid-deployment portal monitor that uses visible-light and gamma-ray imaging to allow simultaneous monitoring of multiple lanes of traffic from the side of a roadway. Our Roadside Tracker uses automated target acquisition and tracking (TAT) software to identify and track vehicles in visible light images. The field of view of the visible camera overlaps with and is calibrated to that of a one-dimensional gamma-ray imager. The TAT code passes information on when vehicles enter and exit the system field of view and when they cross gamma-ray pixel boundaries. Based on this information, the gamma-ray imager "harvests" the gamma-ray data specific to each vehicle, integrating its radiation signature for the entire time that it is in the field of view. In this fashion we are able to generate vehicle-specific radiation signatures and avoid source confusion problems that plague nonimaging approaches to the same problem.
机译：我们建造了一种原型，快速部署门户监视器，使用可见光和伽马射线成像，以便在道路侧同时监控多个通道的车道。我们的路边跟踪器采用自动目标采集和跟踪（TAT）软件来识别和跟踪可见光图像中的车辆。可见摄像机的视野与一维伽马射线成像器的视野与并校准。当车辆进入并退出系统视野时以及跨伽马射线像素边界时，TAT代码通过信息。基于此信息，伽马射线成像仪“收获”特定于每个车辆的伽马射线数据，在其在视野中的整个时间集成其辐射签名。以这种方式，我们能够生成车辆特定的辐射签名，并避免扰乱扰乱与同一问题的源的混淆问题。

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