{"title":"基于带状的人体运动分析","authors":"I. Chang, Chung-Lin Huang","doi":"10.1109/ICPR.1996.546985","DOIUrl":null,"url":null,"abstract":"This paper introduces a ribbon-based motion analysis approach to describe human body movements. Here, we assume that there are no markers on human body. We develop a system to extract the moving ribbons (extremities) by processing the difference between current image frame and reference image frame. By analyzing the moving ribbons on the key frames, we may produce the motion parameter curves for each joint on the ribbon. These curves may not be continuous due to ribbon-torso occlusion, and both the interpolation and extrapolation processes can be used to predict the missing parts.","PeriodicalId":290297,"journal":{"name":"Proceedings of 13th International Conference on Pattern Recognition","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":"{\"title\":\"Ribbon-based motion analysis of human body movements\",\"authors\":\"I. Chang, Chung-Lin Huang\",\"doi\":\"10.1109/ICPR.1996.546985\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces a ribbon-based motion analysis approach to describe human body movements. Here, we assume that there are no markers on human body. We develop a system to extract the moving ribbons (extremities) by processing the difference between current image frame and reference image frame. By analyzing the moving ribbons on the key frames, we may produce the motion parameter curves for each joint on the ribbon. These curves may not be continuous due to ribbon-torso occlusion, and both the interpolation and extrapolation processes can be used to predict the missing parts.\",\"PeriodicalId\":290297,\"journal\":{\"name\":\"Proceedings of 13th International Conference on Pattern Recognition\",\"volume\":\"53 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-08-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"20\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 13th International Conference on Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPR.1996.546985\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 13th International Conference on Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPR.1996.546985","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Ribbon-based motion analysis of human body movements
This paper introduces a ribbon-based motion analysis approach to describe human body movements. Here, we assume that there are no markers on human body. We develop a system to extract the moving ribbons (extremities) by processing the difference between current image frame and reference image frame. By analyzing the moving ribbons on the key frames, we may produce the motion parameter curves for each joint on the ribbon. These curves may not be continuous due to ribbon-torso occlusion, and both the interpolation and extrapolation processes can be used to predict the missing parts.