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A video monitoring system using ontology-driven identification of threats

机译:使用本体驱动的威胁识别的视频监控系统

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In this paper, we present a video monitoring system that leverages image recognition and ontological reasoning about threats. In the solution, an image processing subsystem uses video recording of a monitored area and recognizes known concepts in scenes. Then, a reasoning subsystem uses an ontological description of security conditions and information from image recognition to check if a violation of a condition has occurred. If a threat is detected, the system sends an appropriate notification depending on configuration. A proto-typical implementation of the solution is presented together with exemplary monitoring results.
机译:在本文中,我们提出了一个视频监控系统,该系统利用图像识别和有关威胁的本体论推理。在该解决方案中,图像处理子系统使用监视区域的视频记录并识别场景中的已知概念。然后,推理子系统使用安全条件的本体描述和来自图像识别的信息来检查是否发生了违反条件的情况。如果检测到威胁,系统将根据配置发送适当的通知。提出了该解决方案的典型实现以及示例性监视结果。

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