摘要
目前,虽然监控视频数据量迅速增加,但是每年仍因交通违规行为造成大量的交通事故和人身伤亡.海量监控视频的检索系统存在"找不到"和"难理解"的问题.为了解决上述问题,在交通领域中引入本体.首先详细介绍视频语义内容模型,并对模型中包含的对象、概念、事件、时间关系、空间关系等语义知识进行形式化描述;然后以交通违规领域为例,用软件prot′eg′e 4.2构建该领域的本体,并用JCreator编辑器导出交通违规领域本体的代码;最后将该模型应用于南昌的有关项目中,取得了良好的效果.
Although application of surveillance video in traffic monitoring grows tremendously, traffic violations still cause a large number of accidents and personal injuries every year. In mass surveillance video retrieval systems, events are difficult to find and understand. Introduction of ontology into surveillance video retrieval systems can improve effectiveness and efficiency. This paper presents a model of ontology construction. Formal descriptions of objects, concepts, temporal relation, spatial relation and events are given and included in the model. A method of constructing concept ontology is explored for traffic violations by identifying the concepts and concept hierarchy. This paper uses protege 4.2 to conduct traffic violations ontology, and exports the ontology using JCreator that displays the Rdf/OWL code generated by the ontology.
出处
《上海大学学报（自然科学版）》
CAS
CSCD
北大核心
2014年第5期658-668,共11页
Journal of Shanghai University:Natural Science Edition
基金
国家科技支撑计划资助项目(2012BAH07B01)
国家高技术研究发展计划(863计划)资助项目(2013AA014601
2013AA014603)
国家科技重大专项资助项目(2013ZX01033002-003)
国家自然科学基金资助项目(61300202)
上海市自然科学基金资助项目(12ZR1411000)
关键词
监控视频
交通领域
本体
surveillance video
traffic area
ontology
