基于本体的监控视频语义事件探测

摘要

To detect high-level and complex events, this paper constructed a new framework, inference using the combination of ontology and Petri net to detect composite events composed by simple events. After annotation with algorithms of video analyze ontology, proposed to build an video event analyze ontology in the higher level, map the video analyze ontology to event analyze ontology to describe the video of the event, combine ontology and extended Petri net to inference graphical and asynchronous over surveillance video events, and used SWHL rules to describe the detection of surveillance events. It verified that this method is more effective than pattern recognition method.%为了探测视频高层复杂事件,架构了一个视频事件分析框架,采用本体和Petri网进行推理从而获取复合事件；运用视频语义本体标注算法分析低层视频语义,在高层构建一个视频事件分析本体,将低层本体映射到事件分析本体表示高层视频事件；通过本体和扩展Petri网结合的方法对监控视频中的事件进行图形化异步事件推理；最后用semantic Web rule language(SWRL)规则表示视频监控事件的探测.实验证明,提出的方法比基于模式识别的事件探测方法更加有效.