标题:Target tracking based on data fusion tree in intelligent space
作者:Sang, Sen ;Tian, Guohui
作者机构:[Sang, Sen ;Tian, Guohui ] School of Control Science and Engineering, Shandong University, Jinan, China
会议名称:2014 IEEE International Conference on Information and Automation, ICIA 2014
会议日期:28 July 2014 through 30 July 2014
来源:2014 IEEE International Conference on Information and Automation, ICIA 2014
出版年:2014
页码:501-506
DOI:10.1109/ICInfA.2014.6932707
关键词:Distributed intelligent network devices; Extend Kalman Filter; Heterogeneous sensor information fusion; Target tracking
摘要:This paper puts forward a novel method based on multilevel information fusion to realize the real-time target detection and tracking. Based on the triangulation technique and least square method, the system matches the moving target by the information on color, and carries out the 3D reconstruction of target. Firstly, when the moving target is detected, the system will scan target human's leg by laser range finder to cluster the nearest neighbor, and the exact distance information will be got. Secondly, this article adopts a better Extend Kalman Filter for heterogeneous sensor information fusion to realize the simultaneous robot localization and target tracking in intelligent space. At last, the experimental results verify the effectiveness of the proposed method. © 2014 IEEE.
收录类别:EI;SCOPUS
Scopus被引频次:1
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84914170902&doi=10.1109%2fICInfA.2014.6932707&partnerID=40&md5=19b153d589dbc515bf1635b730c3f54d
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