Yong Zhang, Dmitry Goldgof, Sudeep Sarkar, L. Tsap
{"title":"使用恢复的物理运动参数跟踪对象","authors":"Yong Zhang, Dmitry Goldgof, Sudeep Sarkar, L. Tsap","doi":"10.1109/ICPR.2002.1048224","DOIUrl":null,"url":null,"abstract":"This paper presents a physical model-based method for recovering and tracking nonrigid motion of elastic objects. The proposed method recovers the motion in terms of actual physical parameters (Young's modulus) that characterize the dynamics of the objects. The tracking scheme synthesizes the motion of the points inside the object from the boundary observations, constrained by the physical parameters. Experiments on three image sequences show that using the recovered physical parameters as constraints can greatly improve the tracking quality.","PeriodicalId":159502,"journal":{"name":"Object recognition supported by user interaction for service robots","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Tracking objects using recovered physical motion parameters\",\"authors\":\"Yong Zhang, Dmitry Goldgof, Sudeep Sarkar, L. Tsap\",\"doi\":\"10.1109/ICPR.2002.1048224\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a physical model-based method for recovering and tracking nonrigid motion of elastic objects. The proposed method recovers the motion in terms of actual physical parameters (Young's modulus) that characterize the dynamics of the objects. The tracking scheme synthesizes the motion of the points inside the object from the boundary observations, constrained by the physical parameters. Experiments on three image sequences show that using the recovered physical parameters as constraints can greatly improve the tracking quality.\",\"PeriodicalId\":159502,\"journal\":{\"name\":\"Object recognition supported by user interaction for service robots\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Object recognition supported by user interaction for service robots\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPR.2002.1048224\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Object recognition supported by user interaction for service robots","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPR.2002.1048224","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Tracking objects using recovered physical motion parameters
This paper presents a physical model-based method for recovering and tracking nonrigid motion of elastic objects. The proposed method recovers the motion in terms of actual physical parameters (Young's modulus) that characterize the dynamics of the objects. The tracking scheme synthesizes the motion of the points inside the object from the boundary observations, constrained by the physical parameters. Experiments on three image sequences show that using the recovered physical parameters as constraints can greatly improve the tracking quality.