{"title":"结合尺度不变特征变换和卡尔曼滤波的视频运动对象Mean Shift跟踪:结合尺度不变特征变换和卡尔曼滤波的视频运动对象Mean Shift跟踪","authors":"Zhi-Neng Zhu, Q. Ruan","doi":"10.3724/SP.J.1087.2013.03179","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":61778,"journal":{"name":"计算机应用","volume":"33 1","pages":"3179-3182"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Mean Shift tracking for video moving objects in combination with scale invariant feature transform and Kalman filter: Mean Shift tracking for video moving objects in combination with scale invariant feature transform and Kalman filter\",\"authors\":\"Zhi-Neng Zhu, Q. Ruan\",\"doi\":\"10.3724/SP.J.1087.2013.03179\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":61778,\"journal\":{\"name\":\"计算机应用\",\"volume\":\"33 1\",\"pages\":\"3179-3182\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"计算机应用\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.3724/SP.J.1087.2013.03179\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"计算机应用","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.3724/SP.J.1087.2013.03179","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mean Shift tracking for video moving objects in combination with scale invariant feature transform and Kalman filter: Mean Shift tracking for video moving objects in combination with scale invariant feature transform and Kalman filter