{"title":"计算机视觉在混沌过程研究中的科学与技术","authors":"L. Yurenkova, A. A B, A. A. Oleinikov, D. Rozhkov","doi":"10.33920/pro-2-2304-04","DOIUrl":null,"url":null,"abstract":"The article presents the results of the application of computer vision in the study of processes associated with Brownian motion, that is, the chaotic movement of elements of microsystems. If the particles are visible by electron-optical devices and are distinguishable against the general background, then thanks to video surveillance and subsequent frame-by-frame video processing by computer vision methods, it is possible to determine the kinematic parameters of the observed particles at different points in time.","PeriodicalId":415140,"journal":{"name":"Glavnyj mekhanik (Chief Mechanic)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Computer vision in the study of chaotic processes in science and technology\",\"authors\":\"L. Yurenkova, A. A B, A. A. Oleinikov, D. Rozhkov\",\"doi\":\"10.33920/pro-2-2304-04\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article presents the results of the application of computer vision in the study of processes associated with Brownian motion, that is, the chaotic movement of elements of microsystems. If the particles are visible by electron-optical devices and are distinguishable against the general background, then thanks to video surveillance and subsequent frame-by-frame video processing by computer vision methods, it is possible to determine the kinematic parameters of the observed particles at different points in time.\",\"PeriodicalId\":415140,\"journal\":{\"name\":\"Glavnyj mekhanik (Chief Mechanic)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Glavnyj mekhanik (Chief Mechanic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33920/pro-2-2304-04\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Glavnyj mekhanik (Chief Mechanic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33920/pro-2-2304-04","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Computer vision in the study of chaotic processes in science and technology
The article presents the results of the application of computer vision in the study of processes associated with Brownian motion, that is, the chaotic movement of elements of microsystems. If the particles are visible by electron-optical devices and are distinguishable against the general background, then thanks to video surveillance and subsequent frame-by-frame video processing by computer vision methods, it is possible to determine the kinematic parameters of the observed particles at different points in time.
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