{"title":"Research on Integrated Tracking Algorithm Embedded Level Set","authors":"Hong-xiu Li, Li Ka","doi":"10.1109/ICDMA.2013.252","DOIUrl":null,"url":null,"abstract":"In order to accurately and timely learn the changes of the target appearance, and effectively describe the object, tracking algorithm embedded level set is proposed in this paper, and the theoretic and experimental verification are researched, results show that: compared with the classic integrated tracking, integrated tracking embedded level set has more outstanding in dealing with complex background. The level set function owns its outstanding characteristics in the description of the target contour, and greatly improve the accuracy and robustness of the integrated tracking.","PeriodicalId":403312,"journal":{"name":"2013 Fourth International Conference on Digital Manufacturing & Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Fourth International Conference on Digital Manufacturing & Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDMA.2013.252","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In order to accurately and timely learn the changes of the target appearance, and effectively describe the object, tracking algorithm embedded level set is proposed in this paper, and the theoretic and experimental verification are researched, results show that: compared with the classic integrated tracking, integrated tracking embedded level set has more outstanding in dealing with complex background. The level set function owns its outstanding characteristics in the description of the target contour, and greatly improve the accuracy and robustness of the integrated tracking.