{"title":"足球视频中的线检测","authors":"Z. Cai, J. Tai","doi":"10.1109/ICICS.2005.1689104","DOIUrl":null,"url":null,"abstract":"Line detection is one of the important tasks in soccer video analysis. We propose a method to extract lines, which includes a series of operations: extraction of field colours, removal of unwanted frames and objects, and line patching. The experiments show that our algorithm can extract most of lines on the field in real-time soccer video. It can also be applied in other sports, such as tennis and basket ball","PeriodicalId":425178,"journal":{"name":"2005 5th International Conference on Information Communications & Signal Processing","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Line detection in Soccer Video\",\"authors\":\"Z. Cai, J. Tai\",\"doi\":\"10.1109/ICICS.2005.1689104\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Line detection is one of the important tasks in soccer video analysis. We propose a method to extract lines, which includes a series of operations: extraction of field colours, removal of unwanted frames and objects, and line patching. The experiments show that our algorithm can extract most of lines on the field in real-time soccer video. It can also be applied in other sports, such as tennis and basket ball\",\"PeriodicalId\":425178,\"journal\":{\"name\":\"2005 5th International Conference on Information Communications & Signal Processing\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-12-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2005 5th International Conference on Information Communications & Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICS.2005.1689104\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 5th International Conference on Information Communications & Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICS.2005.1689104","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Line detection is one of the important tasks in soccer video analysis. We propose a method to extract lines, which includes a series of operations: extraction of field colours, removal of unwanted frames and objects, and line patching. The experiments show that our algorithm can extract most of lines on the field in real-time soccer video. It can also be applied in other sports, such as tennis and basket ball