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.
XU Zheng1, JIANG Ya-yun1,2, LI Zhen-yu1
. Construction and Application of Ontology in Traffic Surveillance Video Systems[J]. Journal of Shanghai University, 2014
, 20(5)
: 658
-668
.
DOI: 10.3969/j.issn.1007-2861.2014.01.017
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