{"title":"视觉手部跟踪算法","authors":"F. Mahmoudi, M. Parviz","doi":"10.1109/GMAI.2006.48","DOIUrl":null,"url":null,"abstract":"Tracking is an important section in a gesture recognition system. Numerous techniques for segmentation, tracking, modeling and recognition have been proposed during several past years. A few papers comparing different approaches have been published. However, a comprehensive survey on tracking is still missing. We try to fill this vacuum by reviewing most widely used methods and techniques and collecting their numerical evaluation results","PeriodicalId":438098,"journal":{"name":"Geometric Modeling and Imaging--New Trends (GMAI'06)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"39","resultStr":"{\"title\":\"Visual Hand Tracking Algorithms\",\"authors\":\"F. Mahmoudi, M. Parviz\",\"doi\":\"10.1109/GMAI.2006.48\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Tracking is an important section in a gesture recognition system. Numerous techniques for segmentation, tracking, modeling and recognition have been proposed during several past years. A few papers comparing different approaches have been published. However, a comprehensive survey on tracking is still missing. We try to fill this vacuum by reviewing most widely used methods and techniques and collecting their numerical evaluation results\",\"PeriodicalId\":438098,\"journal\":{\"name\":\"Geometric Modeling and Imaging--New Trends (GMAI'06)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-07-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"39\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geometric Modeling and Imaging--New Trends (GMAI'06)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GMAI.2006.48\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geometric Modeling and Imaging--New Trends (GMAI'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GMAI.2006.48","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Tracking is an important section in a gesture recognition system. Numerous techniques for segmentation, tracking, modeling and recognition have been proposed during several past years. A few papers comparing different approaches have been published. However, a comprehensive survey on tracking is still missing. We try to fill this vacuum by reviewing most widely used methods and techniques and collecting their numerical evaluation results