Target Tracking Based on Data Fusion Tree in Intelligent Space

被引：0
|
作者：
Sang, Sen [1 ]
Tian, Guohui [1 ]
机构：
[1] Shandong Univ, Sch Control Sci & Engn, Jinan 250100, Peoples R China
来源：
2014 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION (ICIA) | 2014年
关键词：
Target tracking; Distributed intelligent network devices; Extend Kalman Filter; Heterogeneous sensor information fusion;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
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.
引用
收藏
页码：501 / 506
页数：6
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