{"title":"智能视频监控系统的逻辑数据模型","authors":"N. Zhukova, A. Subbotin","doi":"10.1109/scm55405.2022.9794866","DOIUrl":null,"url":null,"abstract":"The article presents a logical data model for intelligent video surveillance systems. New opportunities for creating data models focused on the widespread use of machine learning methods are considered. New methods for constructing logical models and their application in intelligent video surveillance systems are proposed. A smartphone application has been developed. The effectiveness of using the proposed logical models for data processing in fog and cloud environments has been proved. Specific examples are given.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Logical Data Model for Intelligent Video Surveillance Systems\",\"authors\":\"N. Zhukova, A. Subbotin\",\"doi\":\"10.1109/scm55405.2022.9794866\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article presents a logical data model for intelligent video surveillance systems. New opportunities for creating data models focused on the widespread use of machine learning methods are considered. New methods for constructing logical models and their application in intelligent video surveillance systems are proposed. A smartphone application has been developed. The effectiveness of using the proposed logical models for data processing in fog and cloud environments has been proved. Specific examples are given.\",\"PeriodicalId\":162457,\"journal\":{\"name\":\"2022 XXV International Conference on Soft Computing and Measurements (SCM)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 XXV International Conference on Soft Computing and Measurements (SCM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/scm55405.2022.9794866\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/scm55405.2022.9794866","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Logical Data Model for Intelligent Video Surveillance Systems
The article presents a logical data model for intelligent video surveillance systems. New opportunities for creating data models focused on the widespread use of machine learning methods are considered. New methods for constructing logical models and their application in intelligent video surveillance systems are proposed. A smartphone application has been developed. The effectiveness of using the proposed logical models for data processing in fog and cloud environments has been proved. Specific examples are given.
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