The mixed Labeling problem in multi target particle filtering

被引：0
|
作者：
Boers, Yvo [1 ]
Driessen, Hans [1 ]
机构：
[1] Thales Nederland BV, NL-7554 PA Hengelo, Netherlands
来源：
2007 PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION, VOLS 1-4 | 2007年
关键词：
particle filters; multi target tracking; Markov processes;
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：
In this paper the so called mixed labeling problem inherent, or at least thought to be inherent to a joint state multi target particle filter implementation is treated The mixed labeling problem would be prohibitive for track extraction from a joint state multi target particle filter. It is shown and proven using the theory of Markov chains, that the mixed labeling problem is inherently self-resolving in a particle filter. It is also shown that the factors influencing this capability are the number of particles and the number of resampling steps.
引用
收藏
页码：298 / 304
页数：7
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