Semantic event detection based on ontology in surveillance video
Yongmei Zhou · Jisuanji yingyong yanjiu · 2012
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 SWRL rules to describe the detection of surveillance events.It verified that this method is more effective than pattern recognition method.