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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Stone, L.D. Tran, T.M. Williams, M.L. |
| Copyright Year | 2009 |
| Description | Author affiliation: Metron Inc., Reston, VA, USA (Stone, L.D.; Tran, T.M.) || Advanced Information Processing, BAE Systems, Filton, Bristol, England (Williams, M.L.) |
| Abstract | This paper considers the performance of two track-to-track association algorithms. The first bases association decisions on a chi-squared distance between tracks and a fixed significance threshold to determine when no association is allowed. The second algorithm finds the maximum a posteriori probability (MAP) set of associations between tracks from two independent tracking systems. For tracks whose state estimates are characterized by Gaussian distributions, the second algorithm may be viewed as a version of the first algorithm with an adaptive threshold. This paper examines the performance of these two algorithms in terms of expected fraction of correct matches of tracks from system 1 to tracks from system 2 and finds that the adaptive threshold algorithm performs as well or better than the fixed threshold algorithm and that adjustments to the adaptive threshold generally produce little or no benefit. |
| Starting Page | 1627 |
| Ending Page | 1633 |
| File Size | 381411 |
| Page Count | 7 |
| File Format | |
| ISBN | 9780982443804 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-06 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | ISIF |
| Subject Keyword | Target tracking Linear programming State estimation Information processing Cost function Kinetic theory Performance evaluation Testing Computational modeling Gaussian distribution tracking Association |
| Content Type | Text |
| Resource Type | Article |
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