In respect to the issue of alarms flooding, which is resulted from multiple detection sensors in terms of intrusions, this article proposes a novel on-line model on alarms clustering and fusion.
针对大量的异构入侵检测传感器产生的警报泛滥问题，提出了一种在线警报聚类融合模型。
In our model, we look upon multiple detection centers as a sensor network. Each detection center gets information about the attributes as to the alert object, which constitutes evidence.
在模型中，我们把多个检测中心看作一个传感器网络，各检测中心检测到的关于警报对象的属性产生对态势判断的度量，构成证据。
Multiple detection window approach is introduced to detect vehicles in images, avoiding scaling image directly in traditional way.
通过引入识别窗口多尺度机制进行车辆识别，避免了传统方法中直接对图像的缩放变换。
Multiple detection window approach is introduced to detect vehicles in images, avoiding scaling image directly in traditional way.
通过引入识别窗口多尺度机制进行车辆识别，避免了传统方法中直接对图像的缩放变换。
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