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首页> 外文期刊>IEEE Transactions on Aerospace and Electronic Systems >Tracking multiple objects with particle filtering
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Tracking multiple objects with particle filtering

机译：使用粒子过滤跟踪多个对象

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摘要

We address the problem of multitarget tracking (MTT) encountered in many situations in signal or image processing. We consider stochastic dynamic systems detected by observation processes. The difficulty lies in the fact that the estimation of the states requires the assignment of the observations to the multiple targets. We propose an extension of the classical particle filter where the stochastic vector of assignment is estimated by a Gibbs sampler. This algorithm is used to estimate the trajectories of multiple targets from their noisy bearings, thus showing its ability to solve the data association problem. Moreover this algorithm is easily extended to multireceiver observations where the receivers can produce measurements of various nature with different frequencies.
机译：我们解决了信号或图像处理中许多情况下遇到的多目标跟踪（MTT）问题。我们考虑通过观测过程检测到的随机动态系统。困难在于以下事实：状态的估计需要将观察值分配给多个目标。我们提出了经典粒子滤波器的扩展，其中分配的随机向量由Gibbs采样器估算。该算法被用于从嘈杂的方位估计多个目标的轨迹，从而显示出解决数据关联问题的能力。此外，该算法很容易扩展到多接收器观测，其中接收器可以产生具有不同频率的各种性质的测量。

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