{"title":"噪声雷达数据中的目标跟踪:Hough变换与RANSAC的比较","authors":"Lucas Jacobs, J. Weiss, D. Dolan","doi":"10.1109/EIT.2013.6632715","DOIUrl":null,"url":null,"abstract":"We have developed methods for tracking objects in penetrating radar data. The data sets of interest typically contain linear tracks corresponding to object motion, along with large amounts of noise from the environment, the motion of the radar device, and other sources. The Hough transform and RANSAC are algorithms that are well known for their ability to detect straight line segments in the presence of noise. In this study, we compare the performance of these two important algorithms.","PeriodicalId":201202,"journal":{"name":"IEEE International Conference on Electro-Information Technology , EIT 2013","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Object tracking in noisy radar data: Comparison of Hough transform and RANSAC\",\"authors\":\"Lucas Jacobs, J. Weiss, D. Dolan\",\"doi\":\"10.1109/EIT.2013.6632715\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We have developed methods for tracking objects in penetrating radar data. The data sets of interest typically contain linear tracks corresponding to object motion, along with large amounts of noise from the environment, the motion of the radar device, and other sources. The Hough transform and RANSAC are algorithms that are well known for their ability to detect straight line segments in the presence of noise. In this study, we compare the performance of these two important algorithms.\",\"PeriodicalId\":201202,\"journal\":{\"name\":\"IEEE International Conference on Electro-Information Technology , EIT 2013\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-05-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE International Conference on Electro-Information Technology , EIT 2013\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EIT.2013.6632715\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Conference on Electro-Information Technology , EIT 2013","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EIT.2013.6632715","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Object tracking in noisy radar data: Comparison of Hough transform and RANSAC
We have developed methods for tracking objects in penetrating radar data. The data sets of interest typically contain linear tracks corresponding to object motion, along with large amounts of noise from the environment, the motion of the radar device, and other sources. The Hough transform and RANSAC are algorithms that are well known for their ability to detect straight line segments in the presence of noise. In this study, we compare the performance of these two important algorithms.
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