Multi-target tracking based on multi-sensor information fusion with fuzzy inference

被引：0
|
作者：
Han, H [1 ]
Han, CZ [1 ]
Zhu, HY [1 ]
Wen, R [1 ]
机构：
[1] Xian Jiaotong Univ, Sch Elect & Informat Engn, Xian 710049, Peoples R China
来源：
FUSION 2003: PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE OF INFORMATION FUSION, VOLS 1 AND 2 | 2003年
关键词：
fuzzy inference; data association; multi-sensor fusion; multi-target tracking;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The multi-target tracking (A47T) system based on multi-sensor information fusion cannot only be used to track the targets simultaneously, but also to improve the tracking accuracy. A significant problem in MTT is the data association (DA) of track-to-measurement, and DA is the precondition of realizing the MTT system based on multi-sensor information fusion. An association algorithm based on fuzzy inference is proposed in this paper, and according to the desire of the radar/infrared image fused tracking system, the accurate tracking for multi-targets in heavily cluttered environment is implemented. The simulation results indicate that the proposed method is very efficient.
引用
收藏
页码：1421 / 1425
页数：5
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