Group and extended object tracking

被引：10
|
作者：
Salmond, DJ
Gordon, NJ
机构：
来源：
SIGNAL AND DATA PROCESSING OF SMALL TARGETS 1999 | 1999年 / 3809卷
关键词：
target tracking; Bayesian methods; bootstrap filter; SIR filter; particle filter; Monte Carlo methods; target group; extended object tracking;
D O I：
10.1117/12.364028
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
The problem of tracking point targets moving in a group, or features of an extended object, is formulated via a general two component model. An example involving translation, scaling, rotation and pattern distortion is presented. It is assumed that measurements of the points are unlabelled, which, together with a significant clutter level, leads to measurement association uncertainty. A Bayesian bootstrap filter (or particle filter) is used to implement a nonlinear, multiple hypothesis, recursive estimator.
引用
收藏
页码：284 / 296
页数：13
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