{"title":"基于改进CDTW的三维轨迹识别描述符","authors":"Jianyu Yang, Y.F. Li, Keyi Wang","doi":"10.1109/ICAL.2010.5585379","DOIUrl":null,"url":null,"abstract":"Motion recognition via trajectory is important in motion analysis for many robotic tasks. A descriptor for motion trajectories plays an important role in the recognition algorithm. Existing invariant descriptors and discrete matching algorithms are not flexible enough under certain circumstances for recognition. In this paper we propose a new descriptor to solve this problem, with a modified data alignment method in the matching algorithm for motion recognition. Experimental results demonstrate the effectiveness of the method in the motion recognition.","PeriodicalId":393739,"journal":{"name":"2010 IEEE International Conference on Automation and Logistics","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"A new descriptor for 3D trajectory recognition via modified CDTW\",\"authors\":\"Jianyu Yang, Y.F. Li, Keyi Wang\",\"doi\":\"10.1109/ICAL.2010.5585379\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Motion recognition via trajectory is important in motion analysis for many robotic tasks. A descriptor for motion trajectories plays an important role in the recognition algorithm. Existing invariant descriptors and discrete matching algorithms are not flexible enough under certain circumstances for recognition. In this paper we propose a new descriptor to solve this problem, with a modified data alignment method in the matching algorithm for motion recognition. Experimental results demonstrate the effectiveness of the method in the motion recognition.\",\"PeriodicalId\":393739,\"journal\":{\"name\":\"2010 IEEE International Conference on Automation and Logistics\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE International Conference on Automation and Logistics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAL.2010.5585379\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Conference on Automation and Logistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAL.2010.5585379","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new descriptor for 3D trajectory recognition via modified CDTW
Motion recognition via trajectory is important in motion analysis for many robotic tasks. A descriptor for motion trajectories plays an important role in the recognition algorithm. Existing invariant descriptors and discrete matching algorithms are not flexible enough under certain circumstances for recognition. In this paper we propose a new descriptor to solve this problem, with a modified data alignment method in the matching algorithm for motion recognition. Experimental results demonstrate the effectiveness of the method in the motion recognition.