{"title":"基于相对几何特征的部分相似人体运动检索","authors":"Song-Le Chen, Zhengxing Sun, Yi Li, Qian Li","doi":"10.1109/ICDH.2012.91","DOIUrl":null,"url":null,"abstract":"With the emergence of different kinds and styles of movements in the motion database, the methods which only support overall similarity motion retrieval can't meet the needs of practical applications. In this paper, we present an effective method based on relative geometry features to support partial similarity human motion retrieval. The key components of our approach include effective feature selection by Adaboost, initial feature weight predication for a query through regression model and effective relevance feedback based on feature weight adjustment. Experimental results prove the effectiveness of our proposed method.","PeriodicalId":308799,"journal":{"name":"2012 Fourth International Conference on Digital Home","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Partial Similarity Human Motion Retrieval Based on Relative Geometry Features\",\"authors\":\"Song-Le Chen, Zhengxing Sun, Yi Li, Qian Li\",\"doi\":\"10.1109/ICDH.2012.91\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the emergence of different kinds and styles of movements in the motion database, the methods which only support overall similarity motion retrieval can't meet the needs of practical applications. In this paper, we present an effective method based on relative geometry features to support partial similarity human motion retrieval. The key components of our approach include effective feature selection by Adaboost, initial feature weight predication for a query through regression model and effective relevance feedback based on feature weight adjustment. Experimental results prove the effectiveness of our proposed method.\",\"PeriodicalId\":308799,\"journal\":{\"name\":\"2012 Fourth International Conference on Digital Home\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Fourth International Conference on Digital Home\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDH.2012.91\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Fourth International Conference on Digital Home","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDH.2012.91","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Partial Similarity Human Motion Retrieval Based on Relative Geometry Features
With the emergence of different kinds and styles of movements in the motion database, the methods which only support overall similarity motion retrieval can't meet the needs of practical applications. In this paper, we present an effective method based on relative geometry features to support partial similarity human motion retrieval. The key components of our approach include effective feature selection by Adaboost, initial feature weight predication for a query through regression model and effective relevance feedback based on feature weight adjustment. Experimental results prove the effectiveness of our proposed method.