中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A Method to Track and Acquire the 3D Point Cloud Data of Object

文献类型:会议论文

作者Wang, Zunran2; Li, Zhijun2; Yang, Chenguang2; Cong Y(丛杨)1
出版日期2018
会议日期July 19-23, 2018
会议地点Tianjin, China
页码1334-1339
英文摘要In the paper, a method to track an object and acquire the 3D point cloud data of the object is proposed, because real-time tracking of an object is challenging work. A robust Bayesian framework is designed in this method for visual tracking of human motion. In this paper, a 3D bounding box is exploited to acquire the spatial range of the human body. Besides, the mapping of the coordinate relation between RGB image and point cloud data is realized through the camera calibration. The experiment results demonstrate that the method can offer a faster convergence of estimate. In addition, the prior distributions of the particles at each sample are defined based on the color histograms of the human body.
源文献作者IEEE Robotics & Automation Society
产权排序2
会议录Proceedings of 2018 IEEE 8th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems
会议录出版者IEEE
会议录出版地New York
语种英语
ISSN号2379-7711
ISBN号978-1-5386-7056-9
WOS记录号WOS:000468941800235
源URL[http://ir.sia.cn/handle/173321/24694]  
专题沈阳自动化研究所_机器人学研究室
通讯作者Yang, Chenguang
作者单位1.Chinese Academy of Sciences, State Key Laboratory of Robotics Shenyang Institute of Automation, Shenyang, China
2.College of Automation Science and Engineering South China University of Technology, Key Laboratory of Autonomous Systems and Networked Control, Guangzhou 510640, China
推荐引用方式
GB/T 7714
Wang, Zunran,Li, Zhijun,Yang, Chenguang,et al. A Method to Track and Acquire the 3D Point Cloud Data of Object[C]. 见:. Tianjin, China. July 19-23, 2018.

入库方式: OAI收割

来源:沈阳自动化研究所

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