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A Distributed Framework for Event Detection in Video Surveillance Context

机译:视频监视环境中事件检测的分布式框架

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In latest years modern world's needs of safety caused a speed spreading of video surveillance systems, more and more frequently collocated in the most crowded places. Thus, a lot of theoretical approaches working with data coming from heterogeneous sources and defining some very complex event detection algorithms have been proposed in the literature. In this paper, we present a distributed framework for event detection in video surveillance context. The overall process is described, starting from the video frames captured by different kinds of sensors and cameras till at the end some high-level event detection algorithms performed in a distributed environment for finding potentially dangerous activities are applied. The conducted experiments confirm the efficiency achieved by our distributed framework.
机译:近年来,现代世界对安全的需求导致视频监控系统迅速普及,越来越多的视频监控系统部署在最拥挤的地方。因此,文献中提出了许多理论方法来处理来自异构源的数据并定义一些非常复杂的事件检测算法。在本文中,我们提出了一种在视频监控环境中进行事件检测的分布式框架。描述了整个过程,从不同类型的传感器和摄像机捕获的视频帧开始,直到最后应用在分布式环境中执行的用于发现潜在危险活动的一些高级事件检测算法。进行的实验证实了我们的分布式框架所实现的效率。

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