Bayesian filtering for tracking pose and location of rigid targets

被引：7
|
作者：
Srivastava, A [1 ]
机构：
[1] Florida State Univ, Tallahassee, FL 32306 USA
来源：
SIGNAL PROCESSING, SENSOR FUSION, AND TARGET RECOGNITION IX | 2000年 / 4052卷
关键词：
ATR; target pose tracking; nonlinear filtering; sequential Monte Carlo methods; Newtonian dynamics;
D O I：
10.1117/12.395067
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Tracking of target pose is important for ATR in situations where there is a relative motion between the targets and the sensor(s). Taking a Bayesian approach, we formulate the problem of jointly tracking the target positions and orientations las elements of SE(3)) as a problem in nonlinear filtering. Combining pertinent ideas from importance sampling and sequential methods, we apply an iterative Monte Carlo approach to solve for MMSE solutions. This tracking algorithm is demonstrated for tracking individual targets in a simulated environment.
引用
收藏
页码：160 / 171
页数：12
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