文献详情
Towards Robust and Accurate Single-View Fast Human Motion Capture
文献类型期刊
作者Yu, Tao[1];Zhao, Jianhui[2];Huang, Yuanhao[3];Li, Yipeng[4];Liu, Yebin[5]
机构
2019
通讯作者Zhao, JH (reprint author), Beihang Univ, Sch Instrumentat & Optoelect Engn, Beijing 100191, Peoples R China.; Liu, YB (reprint author), Tsinghua Univ, Dept Automat, Beijing 100085, Peoples R China.
期刊名称IEEE ACCESS影响因子和分区
来源信息年:2019  卷:7  页码范围:85548-85559  
7
期刊信息IEEE ACCESS影响因子和分区  ISSN:2169-3536
页码范围85548-85559
关键词3D vision; computer vision; human motion capture
增刊正刊
摘要This paper proposes a new method for fast human motion capture based on a single RGB-D sensor. By leveraging the human pose detection results for reinitializing the ICP-based sequential human motion tracking algorithm when tracking failure happens, our system achieves a highly robust and accurate human motion tracking performance even for fast motion. Moreover, the calculation and utilization of semantic tracking loss enable body-part-level motion tracking refinement, which is better than whole-body refinement. Finally, a simple yet effective post-processing method, semantic bidirectional motion blending, for single-view human motion capture is proposed to further improve the tracking accuracy, especially under severe occlusions and fast motion. The results and experiments demonstrate that the proposed method achieves highly accurate and robust human motion capture performance in a very efficient way. Applications include AR&VR, human motion analysis, movie, and gaming.
收录情况SCIE(WOS:000475915800001)  EI(20192907188516)  
所属部门仪器科学与光电工程学院
DOI10.1109/ACCESS.2019.2920633
百度学术Towards Robust and Accurate Single-View Fast Human Motion Capture
语言外文
ISSN2169-3536
人气指数53
浏览次数53
基金NSF of China [61827805, 61522111, 61861166002, 61531014, 51574012]; Changjiang Scholars and Innovative Research Team in University [IRT_16R02]
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