A Close Multi-Target Tracking Algorithm Based on Weight Correction
When multiple targets are close to each other and intersect, the Gaussian mixture probability hypothesis density (GM-PHD) filtering algorithm experiences degraded tracking performance. To address this problem, a neighborhood multi-target tracking optimization algorithm based on weight correction is...
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| Format: | Article |
| Language: | English |
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Instituto de Aeronáutica e Espaço (IAE)
2025-01-01
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| Series: | Journal of Aerospace Technology and Management |
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| Online Access: | https://jatm.com.br/jatm/article/view/1358 |
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| _version_ | 1832583190777167872 |
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| author | Lifan Sun Liyang Xu Wenhui Xue Jianfeng Liu Dan Gao |
| author_facet | Lifan Sun Liyang Xu Wenhui Xue Jianfeng Liu Dan Gao |
| author_sort | Lifan Sun |
| collection | DOAJ |
| description |
When multiple targets are close to each other and intersect, the Gaussian mixture probability hypothesis density (GM-PHD) filtering algorithm experiences degraded tracking performance. To address this problem, a neighborhood multi-target tracking optimization algorithm based on weight correction is proposed. In the proposed method, a proximity monitoring mechanism is first introduced to detect the distance between targets. Next, the similarity between the measured data and the target predicted value is calculate to form a similarity matrix. If there are multiple data points in a row of the similarity matrix exceed the threshold, further correction should be performed on the data in that row. Finally, the weight correction matrix is formed by combining the above two steps. Simulation results demonstrate that the tracking accuracy and stability of the proposed algorithm are significantly improved in scenarios of multi-target intersection and parallel tracking, and its performance is better than that of the traditional GM-PHD filtering algorithm.
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| format | Article |
| id | doaj-art-c848dcfe4eee4138a145537f7e57e192 |
| institution | Kabale University |
| issn | 2175-9146 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Instituto de Aeronáutica e Espaço (IAE) |
| record_format | Article |
| series | Journal of Aerospace Technology and Management |
| spelling | doaj-art-c848dcfe4eee4138a145537f7e57e1922025-01-29T02:01:52ZengInstituto de Aeronáutica e Espaço (IAE)Journal of Aerospace Technology and Management2175-91462025-01-0117A Close Multi-Target Tracking Algorithm Based on Weight CorrectionLifan Sun0Liyang Xu1Wenhui Xue2Jianfeng Liu3Dan Gao4Henan University of Science and Technology – School of Information Engineering – Luoyang – China | Longmen Laboratory – Luoyang – China.Henan University of Science and Technology – School of Information Engineering – Luoyang – China.Avic Jonhon Optronic Technology Co – Luoyang – China.Henan University of Science and Technology – School of Information Engineering – Luoyang – China.Henan University of Science and Technology – School of Information Engineering – Luoyang – China. When multiple targets are close to each other and intersect, the Gaussian mixture probability hypothesis density (GM-PHD) filtering algorithm experiences degraded tracking performance. To address this problem, a neighborhood multi-target tracking optimization algorithm based on weight correction is proposed. In the proposed method, a proximity monitoring mechanism is first introduced to detect the distance between targets. Next, the similarity between the measured data and the target predicted value is calculate to form a similarity matrix. If there are multiple data points in a row of the similarity matrix exceed the threshold, further correction should be performed on the data in that row. Finally, the weight correction matrix is formed by combining the above two steps. Simulation results demonstrate that the tracking accuracy and stability of the proposed algorithm are significantly improved in scenarios of multi-target intersection and parallel tracking, and its performance is better than that of the traditional GM-PHD filtering algorithm. https://jatm.com.br/jatm/article/view/1358Multi-target trackingGM-PHDMinimum mean square error matrixWeight correction |
| spellingShingle | Lifan Sun Liyang Xu Wenhui Xue Jianfeng Liu Dan Gao A Close Multi-Target Tracking Algorithm Based on Weight Correction Journal of Aerospace Technology and Management Multi-target tracking GM-PHD Minimum mean square error matrix Weight correction |
| title | A Close Multi-Target Tracking Algorithm Based on Weight Correction |
| title_full | A Close Multi-Target Tracking Algorithm Based on Weight Correction |
| title_fullStr | A Close Multi-Target Tracking Algorithm Based on Weight Correction |
| title_full_unstemmed | A Close Multi-Target Tracking Algorithm Based on Weight Correction |
| title_short | A Close Multi-Target Tracking Algorithm Based on Weight Correction |
| title_sort | close multi target tracking algorithm based on weight correction |
| topic | Multi-target tracking GM-PHD Minimum mean square error matrix Weight correction |
| url | https://jatm.com.br/jatm/article/view/1358 |
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