Abstract
This paper provides a performance and complexity analysis of particle filtering as applied to real-time object tracking. The number of particles and the sampling rate strongly influence the performance of particle filters, but more importantly they affect very much their complexity. In the paper, we also propose a particle filter that changes the number of used particles during filtering, where the number of particles is employed for making decisions about performing resampling. The performance of the proposed particle filters is demonstrated on the bearings-only tracking problem.
| Original language | English |
|---|---|
| Pages (from-to) | 853-857 |
| Number of pages | 5 |
| Journal | Conference Record of the Asilomar Conference on Signals, Systems and Computers |
| Volume | 1 |
| State | Published - 2002 |
| Event | The Thirty-Sixth Asilomar Conference on Signals Systems and Computers - Pacific Groove, CA, United States Duration: Nov 3 2002 → Nov 6 2002 |
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