交通领域本体的构建及应用

doi:10.3969/j.issn.1007-2861.2014.01.017

上海大学学报(自然科学版) ›› 2014, Vol. 20 ›› Issue (5): 658-668.doi: 10.3969/j.issn.1007-2861.2014.01.017

• 计算机工程与科学 • 上一篇

交通领域本体的构建及应用

徐峥1, 江亚运1,2, 李震宇1

1. 公安部第三研究所物联网技术研发中心, 上海 201204; 2. 上海师范大学信息与机电工程学院, 上海 200234

收稿日期:2013-12-27 出版日期:2014-10-30 发布日期:2014-10-30
通讯作者: 李震宇(1958—), 男, 副研究员, 研究方向为图像处理、数据挖掘等. E-mail:zhengyu_lisansuo@163.com
基金资助:
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)

Construction and Application of Ontology in Traffic Surveillance Video Systems

XU Zheng1, JIANG Ya-yun1,2, LI Zhen-yu1

1. The Third Research Institute of Ministry of Public Security, Shanghai 201204, China; 2. The College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China

Received:2013-12-27 Online:2014-10-30 Published:2014-10-30

摘要/Abstract

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protégé 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.

关键词: 本体, 监控视频, 交通领域

Abstract: 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 protégé 4.2 to conduct traffic violations ontology, and exports the ontology using JCreator that displays the Rdf/OWL code generated by the ontology.

Key words: ontology, surveillance video, traffic area

中图分类号:

P 208

徐峥1, 江亚运1,2, 李震宇1. 交通领域本体的构建及应用[J]. 上海大学学报(自然科学版), 2014, 20(5): 658-668.

XU Zheng1, JIANG Ya-yun1,2, LI Zhen-yu1. Construction and Application of Ontology in Traffic Surveillance Video Systems[J]. Journal of Shanghai University（Natural Science Edition）, 2014, 20(5): 658-668.

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交通领域本体的构建及应用

Construction and Application of Ontology in Traffic Surveillance Video Systems

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