Anti-Jamming Tracking Algorithm for Ship Target Based on Correlation Filtering
For solving the problem of tracking drift or loss caused by morphological changes and scale scaling in ship target tracking, this paper designs a target tracking algorithm based on multi feature fusion and threshold selection to resist morphological changes and scale transformation interference. In...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Aero Weaponry
2023-12-01
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| Series: | Hangkong bingqi |
| Subjects: | |
| Online Access: | https://www.aeroweaponry.avic.com/fileup/1673-5048/PDF/2023-00110.pdf |
| _version_ | 1797279363437166592 |
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| author | Qiu Qianjun, Zhou Pengyao, Gao Xin, Zhang Fang, Lü Meibo |
| author_facet | Qiu Qianjun, Zhou Pengyao, Gao Xin, Zhang Fang, Lü Meibo |
| author_sort | Qiu Qianjun, Zhou Pengyao, Gao Xin, Zhang Fang, Lü Meibo |
| collection | DOAJ |
| description | For solving the problem of tracking drift or loss caused by morphological changes and scale scaling in ship target tracking, this paper designs a target tracking algorithm based on multi feature fusion and threshold selection to resist morphological changes and scale transformation interference. In the anti morphological change module, a multi feature weighted fusion method is designed. Through the adaptive weighted fusion of histogram of oriented gradients (HOG), local bninary patterns (LBP) and color names (CN) by the contribution rate of color moment feature recognition, the feature extraction ability of important parts of ship targets is strengthened, and the robustness of the proposed algorithm in the tracking process is improved. In the anti scale transformation interference module, a method with multi resolution target box joint search method and determination of target position by the maximum response peak is designed to solve the problem of low robustness of the tracking box caused by the scaling of ship targets. The experimental results show that the proposed algorithm has better tracking performance, with an accuracy of 93.6% and a success rate of 70.1% on the OTB dataset. This method is superior to other related algorithms. |
| first_indexed | 2024-03-07T16:24:12Z |
| format | Article |
| id | doaj.art-fee1b50981db40139d0080d3ce9cc6ac |
| institution | Directory Open Access Journal |
| issn | 1673-5048 |
| language | zho |
| last_indexed | 2024-03-07T16:24:12Z |
| publishDate | 2023-12-01 |
| publisher | Editorial Office of Aero Weaponry |
| record_format | Article |
| series | Hangkong bingqi |
| spelling | doaj.art-fee1b50981db40139d0080d3ce9cc6ac2024-03-04T02:44:30ZzhoEditorial Office of Aero WeaponryHangkong bingqi1673-50482023-12-0130612312910.12132/ISSN.1673-5048.2023.0110Anti-Jamming Tracking Algorithm for Ship Target Based on Correlation FilteringQiu Qianjun, Zhou Pengyao, Gao Xin, Zhang Fang, Lü Meibo01. The Second Military Representative Office of the Naval Equipment Department in Beijing, Beijing 100000, China;2. Northwestern Polytechnical University, Xi’an 710072, China;3. Military Industry Confidentiality Qualification Review and Certification Center, Beijing 100089, China;4. Xi’an Institute of Applied Optics, Xi’an 710065, ChinaFor solving the problem of tracking drift or loss caused by morphological changes and scale scaling in ship target tracking, this paper designs a target tracking algorithm based on multi feature fusion and threshold selection to resist morphological changes and scale transformation interference. In the anti morphological change module, a multi feature weighted fusion method is designed. Through the adaptive weighted fusion of histogram of oriented gradients (HOG), local bninary patterns (LBP) and color names (CN) by the contribution rate of color moment feature recognition, the feature extraction ability of important parts of ship targets is strengthened, and the robustness of the proposed algorithm in the tracking process is improved. In the anti scale transformation interference module, a method with multi resolution target box joint search method and determination of target position by the maximum response peak is designed to solve the problem of low robustness of the tracking box caused by the scaling of ship targets. The experimental results show that the proposed algorithm has better tracking performance, with an accuracy of 93.6% and a success rate of 70.1% on the OTB dataset. This method is superior to other related algorithms.https://www.aeroweaponry.avic.com/fileup/1673-5048/PDF/2023-00110.pdf|feature fusion|threshold selection|target tracking|correlation filtering|scaling|histogram of oriented gradients|anti-interference |
| spellingShingle | Qiu Qianjun, Zhou Pengyao, Gao Xin, Zhang Fang, Lü Meibo Anti-Jamming Tracking Algorithm for Ship Target Based on Correlation Filtering Hangkong bingqi |feature fusion|threshold selection|target tracking|correlation filtering|scaling|histogram of oriented gradients|anti-interference |
| title | Anti-Jamming Tracking Algorithm for Ship Target Based on Correlation Filtering |
| title_full | Anti-Jamming Tracking Algorithm for Ship Target Based on Correlation Filtering |
| title_fullStr | Anti-Jamming Tracking Algorithm for Ship Target Based on Correlation Filtering |
| title_full_unstemmed | Anti-Jamming Tracking Algorithm for Ship Target Based on Correlation Filtering |
| title_short | Anti-Jamming Tracking Algorithm for Ship Target Based on Correlation Filtering |
| title_sort | anti jamming tracking algorithm for ship target based on correlation filtering |
| topic | |feature fusion|threshold selection|target tracking|correlation filtering|scaling|histogram of oriented gradients|anti-interference |
| url | https://www.aeroweaponry.avic.com/fileup/1673-5048/PDF/2023-00110.pdf |
| work_keys_str_mv | AT qiuqianjunzhoupengyaogaoxinzhangfanglumeibo antijammingtrackingalgorithmforshiptargetbasedoncorrelationfiltering |