Development of the Hopfield neural scheme for data association in multi-target tracking

被引：0
|
作者：
Lee, Yang Weon [1 ]
机构：
[1] Honam Univ, Dept Informat & Commun Engn, Gwangsangu 506714, Gwangju, South Korea
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 1 | 2006年 / 3971卷
关键词：
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 neural scheme for data association in multi-target environment is proposed. This scheme is derived by using the Lyapunov energy function and is important in providing a computationally feasible alternative to complete enumeration of JPDA which is intractable. Through the experiments, we show that the proposed scheme is stable and works well in general environments.
引用
收藏
页码：1280 / 1285
页数：6
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