摘要
This paper proposes a novel target identity probability analysis algorithm for multi-target tracking (MTT) problems. By introducing a target identity probability matrix, finding the identity probability is converted into the problem of target-to-target association. The issue in solving the equivalent problem is that the computational complexity increases exponentially with the increase of the problem size. We propose a Gibbs sampling approach to find approximate polynomial-time solutions. Theoretical analysis reveals that the proposed algorithm provides a performance-guaranteed approximation. Numerical simulations are conducted to support the analytical findings.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Proceedings of the 35th Chinese Control and Decision Conference, CCDC 2023 |
| 出版商 | Institute of Electrical and Electronics Engineers Inc. |
| 页 | 2459-2465 |
| 页数 | 7 |
| ISBN（电子版） | 9798350334722 |
| DOI | |
| 出版状态 | 已出版 - 2023 |
| 活动 | 35th Chinese Control and Decision Conference, CCDC 2023 - Yichang, 中国 期限: 20 5月 2023 → 22 5月 2023 |
出版系列
| 姓名 | Proceedings of the 35th Chinese Control and Decision Conference, CCDC 2023 |
|---|
会议
| 会议 | 35th Chinese Control and Decision Conference, CCDC 2023 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Yichang |
| 时期 | 20/05/23 → 22/05/23 |
指纹
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He, S., Shin, H. S., & Tsourdos, A. (2023). Target Identity Probability Analysis for Multi-Target Tracking. 在 Proceedings of the 35th Chinese Control and Decision Conference, CCDC 2023 (页码 2459-2465). (Proceedings of the 35th Chinese Control and Decision Conference, CCDC 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCDC58219.2023.10327038