{"title":"基于Radon变换的图像序列运动目标区域识别","authors":"S. Seyedin","doi":"10.1109/ETD.1995.403471","DOIUrl":null,"url":null,"abstract":"A new moving object area identification method is described in this article. The Radon transform is used to take projections along parallel directions from two consecutive frames in a monocular image sequence while the camera is stationary. The method consists of two stages: motion detection; and identification of moving object areas in rectangular regions. Moving object area identification using this method is insensitive to sudden or gradual overall illumination changes in the sequence. The method has the capability to be implemented in real time by using pipeline architecture.<<ETX>>","PeriodicalId":302763,"journal":{"name":"Proceedings Electronic Technology Directions to the Year 2000","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Moving object area identification using the Radon transform in image sequences\",\"authors\":\"S. Seyedin\",\"doi\":\"10.1109/ETD.1995.403471\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new moving object area identification method is described in this article. The Radon transform is used to take projections along parallel directions from two consecutive frames in a monocular image sequence while the camera is stationary. The method consists of two stages: motion detection; and identification of moving object areas in rectangular regions. Moving object area identification using this method is insensitive to sudden or gradual overall illumination changes in the sequence. The method has the capability to be implemented in real time by using pipeline architecture.<<ETX>>\",\"PeriodicalId\":302763,\"journal\":{\"name\":\"Proceedings Electronic Technology Directions to the Year 2000\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Electronic Technology Directions to the Year 2000\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ETD.1995.403471\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Electronic Technology Directions to the Year 2000","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETD.1995.403471","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Moving object area identification using the Radon transform in image sequences
A new moving object area identification method is described in this article. The Radon transform is used to take projections along parallel directions from two consecutive frames in a monocular image sequence while the camera is stationary. The method consists of two stages: motion detection; and identification of moving object areas in rectangular regions. Moving object area identification using this method is insensitive to sudden or gradual overall illumination changes in the sequence. The method has the capability to be implemented in real time by using pipeline architecture.<>
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