视频监控环境下分布式事件检测框架

Fabio Persia, D. D’Auria
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引用次数: 1

摘要

近年来,现代世界对安全的需求导致了视频监控系统的迅速普及,越来越频繁地配置在最拥挤的地方。因此,文献中提出了许多处理来自异构数据源的数据的理论方法,并定义了一些非常复杂的事件检测算法。本文提出了一种分布式的视频监控事件检测框架。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一些高级事件检测算法来发现潜在的危险活动。实验验证了分布式框架的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Distributed Framework for Event Detection in Video Surveillance Context
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.
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