{"title":"用图形模型识别视频中的运动物体","authors":"M. Melnyk, Oleksandr Basalkevych","doi":"10.1109/MEMSTECH.2016.7507539","DOIUrl":null,"url":null,"abstract":"This article describes algorithm which detects moving objects in video using the construction and analysis of a graph model. The comparison with the same method that is considered in the documentation for MATLAB is carried out. The efficiency and correctness of the algorithm is proved. Examination of the proposed solutions on test video image is done.","PeriodicalId":102420,"journal":{"name":"2016 XII International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Identification of moving objects in video by means of a graph model\",\"authors\":\"M. Melnyk, Oleksandr Basalkevych\",\"doi\":\"10.1109/MEMSTECH.2016.7507539\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article describes algorithm which detects moving objects in video using the construction and analysis of a graph model. The comparison with the same method that is considered in the documentation for MATLAB is carried out. The efficiency and correctness of the algorithm is proved. Examination of the proposed solutions on test video image is done.\",\"PeriodicalId\":102420,\"journal\":{\"name\":\"2016 XII International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH)\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-04-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 XII International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MEMSTECH.2016.7507539\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 XII International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MEMSTECH.2016.7507539","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Identification of moving objects in video by means of a graph model
This article describes algorithm which detects moving objects in video using the construction and analysis of a graph model. The comparison with the same method that is considered in the documentation for MATLAB is carried out. The efficiency and correctness of the algorithm is proved. Examination of the proposed solutions on test video image is done.