Abstract
The detection and representation of events is a critical element in automated surveillance systems. We present here an ontology for representing complex semantic events to assist video surveillance-based vandalism detection. The ontology contains the definition of a rich and articulated event vocabulary that is aimed at aiding forensic analysis to objectively identify and represent complex events. Our ontology has then been applied in the context of London Riots, which took place in 2011. We report also on the experiments conducted to support the classification of complex criminal events from video data.
Abstract (translated)
事件的检测和表示是自动化监视系统中的一个关键要素。我们在这里提出了一个本体来表示复杂的语义事件，以帮助基于视频监控的破坏检测。本体论包含了丰富和清晰的事件词汇的定义，旨在帮助法医分析客观地识别和表示复杂事件。我们的本体论随后被应用于2011年发生的伦敦骚乱。我们还报告了为支持根据视频数据对复杂犯罪事件进行分类而进行的实验。
URL
https://arxiv.org/abs/1903.09012
