{"title":"从单目图像序列中恢复手语的三维手部动作","authors":"H. Sugiyama, S. Tanahashi, Y. Aoki","doi":"10.1109/ICICS.1997.652151","DOIUrl":null,"url":null,"abstract":"This paper proposes a method to recover three dimensional hand motions of Japanese sign language. This method uses skin-color information and edge and difference images. In this method, joint points are determined by considering a human body consisting of hierarchical structure. Also, we attempt to spot each word from a sentence by using estimated hand motion transitions. The experimental results show the validity of the proposed method.","PeriodicalId":71361,"journal":{"name":"信息通信技术","volume":"335 1","pages":"1098-1101 vol.2"},"PeriodicalIF":0.0000,"publicationDate":"1997-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/ICICS.1997.652151","citationCount":"1","resultStr":"{\"title\":\"Recovering three dimenensional hand motions of sign language from monocular image sequence\",\"authors\":\"H. Sugiyama, S. Tanahashi, Y. Aoki\",\"doi\":\"10.1109/ICICS.1997.652151\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a method to recover three dimensional hand motions of Japanese sign language. This method uses skin-color information and edge and difference images. In this method, joint points are determined by considering a human body consisting of hierarchical structure. Also, we attempt to spot each word from a sentence by using estimated hand motion transitions. The experimental results show the validity of the proposed method.\",\"PeriodicalId\":71361,\"journal\":{\"name\":\"信息通信技术\",\"volume\":\"335 1\",\"pages\":\"1098-1101 vol.2\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-09-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1109/ICICS.1997.652151\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"信息通信技术\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICS.1997.652151\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"信息通信技术","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1109/ICICS.1997.652151","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Recovering three dimenensional hand motions of sign language from monocular image sequence
This paper proposes a method to recover three dimensional hand motions of Japanese sign language. This method uses skin-color information and edge and difference images. In this method, joint points are determined by considering a human body consisting of hierarchical structure. Also, we attempt to spot each word from a sentence by using estimated hand motion transitions. The experimental results show the validity of the proposed method.
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