{"title":"道路交通监测中基于区域的语义提取模型的形式化规范","authors":"Johan Köhler, J. Tapamo","doi":"10.1145/1108590.1108615","DOIUrl":null,"url":null,"abstract":"This work forms part of the development of a framework for semantic extraction in road traffic monitoring. In this paper we develop a scene, object and event model based on regions in the ground plane. The model is formally specified using the Güting spatio-temporal formalism for moving regions and Z notation. The result is domain-independent knowledge representation that supports reasoning about time-varying regions and that is expressed in an accessible mathematical formalism.","PeriodicalId":325699,"journal":{"name":"International Conference on Computer Graphics, Virtual Reality, Visualisation and Interaction in Africa","volume":"141 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Formal specification of region-based model for semantic extraction in road traffic monitoring\",\"authors\":\"Johan Köhler, J. Tapamo\",\"doi\":\"10.1145/1108590.1108615\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work forms part of the development of a framework for semantic extraction in road traffic monitoring. In this paper we develop a scene, object and event model based on regions in the ground plane. The model is formally specified using the Güting spatio-temporal formalism for moving regions and Z notation. The result is domain-independent knowledge representation that supports reasoning about time-varying regions and that is expressed in an accessible mathematical formalism.\",\"PeriodicalId\":325699,\"journal\":{\"name\":\"International Conference on Computer Graphics, Virtual Reality, Visualisation and Interaction in Africa\",\"volume\":\"141 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-01-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Computer Graphics, Virtual Reality, Visualisation and Interaction in Africa\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1108590.1108615\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Computer Graphics, Virtual Reality, Visualisation and Interaction in Africa","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1108590.1108615","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Formal specification of region-based model for semantic extraction in road traffic monitoring
This work forms part of the development of a framework for semantic extraction in road traffic monitoring. In this paper we develop a scene, object and event model based on regions in the ground plane. The model is formally specified using the Güting spatio-temporal formalism for moving regions and Z notation. The result is domain-independent knowledge representation that supports reasoning about time-varying regions and that is expressed in an accessible mathematical formalism.
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