A Method to Track and Acquire the 3D Point Cloud Data of Object

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	A Method to Track and Acquire the 3D Point Cloud Data of Object
	Wang, Zunran 2; Li, Zhijun 2; Yang, Chenguang 2; Cong Y(丛杨)1
	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
内容类型	会议论文
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.