{"title":"一种新的三维人体动作重建方法","authors":"Er-Hu Zhang, Yong Zhao","doi":"10.1109/ICMLC.2011.6016963","DOIUrl":null,"url":null,"abstract":"This paper presents a simple yet effective 3D posture carving reconstruction method for human action recognition. The idea is inspired by the observation that human could carve a 3D object according to a few number of 2D images collected from multiple cameras. First, human action sequences are captured simultaneously by 3 web cameras. Then 3 normalized binary human silhouettes are obtained by a series of preprocessing steps. Finally, the 3D posture in the virtual coordinate is reconstructed according to 2D silhouettes of 3 different views. Experimental results show the effectiveness of the proposed approach.","PeriodicalId":228516,"journal":{"name":"2011 International Conference on Machine Learning and Cybernetics","volume":"77 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A novel 3D human action reconstruction method\",\"authors\":\"Er-Hu Zhang, Yong Zhao\",\"doi\":\"10.1109/ICMLC.2011.6016963\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a simple yet effective 3D posture carving reconstruction method for human action recognition. The idea is inspired by the observation that human could carve a 3D object according to a few number of 2D images collected from multiple cameras. First, human action sequences are captured simultaneously by 3 web cameras. Then 3 normalized binary human silhouettes are obtained by a series of preprocessing steps. Finally, the 3D posture in the virtual coordinate is reconstructed according to 2D silhouettes of 3 different views. Experimental results show the effectiveness of the proposed approach.\",\"PeriodicalId\":228516,\"journal\":{\"name\":\"2011 International Conference on Machine Learning and Cybernetics\",\"volume\":\"77 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Machine Learning and Cybernetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMLC.2011.6016963\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Machine Learning and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC.2011.6016963","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents a simple yet effective 3D posture carving reconstruction method for human action recognition. The idea is inspired by the observation that human could carve a 3D object according to a few number of 2D images collected from multiple cameras. First, human action sequences are captured simultaneously by 3 web cameras. Then 3 normalized binary human silhouettes are obtained by a series of preprocessing steps. Finally, the 3D posture in the virtual coordinate is reconstructed according to 2D silhouettes of 3 different views. Experimental results show the effectiveness of the proposed approach.
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