Aerial Target Tracking Based on Frequency-Domain Gabor Filters and Correlation Filters under Complex Interference Environment
Aerial infrared target automatic tracking technology is the core technology of the photoelectric countermeasure system of infrared imaging missiles. Aiming at challenging conditions of complex battlefield environment, large scale change of air target, infrared interference partial occlusion and so o...
| Format: | Article |
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| Language: | zho |
| Published: |
EDP Sciences
2020-12-01
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| Series: | Xibei Gongye Daxue Xuebao |
| Subjects: | |
| Online Access: | https://www.jnwpu.org/articles/jnwpu/full_html/2020/06/jnwpu2020386p1146/jnwpu2020386p1146.html |
| _version_ | 1797668923615739904 |
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| collection | DOAJ |
| description | Aerial infrared target automatic tracking technology is the core technology of the photoelectric countermeasure system of infrared imaging missiles. Aiming at challenging conditions of complex battlefield environment, large scale change of air target, infrared interference partial occlusion and so on, we propose a new correlation filtering algorithm based on Gabor filtering features in the frequency domain for aerial infrared target tracking. This algorithm constructs a set of frequency-domain Gabor filters, which extracts frequency-domain Gabor filtering(GF) features of the target image block and reduces dimension fusion, thereby effectively suppressing background noise and highlighting target texture information. According to the characteristics and variation law of spectrum energy distribution, the eigenvectors of target spectrum scale are extracted to improve the accuracy of target scale information estimation. High-confidence patches are used to track the reliable part of the target, and the energy distribution of the tracking box is calculated to predict the occluded part of the target simultaneously. This method provides more target information and improves the robustness of the algorithm in case of reappearance of the occluded target. Compared with other tracking algorithms, the average accuracy of the proposed algorithm was improved by 15.2%, and the frame frequency reached above 110 Hz. |
| first_indexed | 2024-03-11T20:36:36Z |
| format | Article |
| id | doaj.art-b743a568ebe3418a8ea6cd5d34422a9d |
| institution | Directory Open Access Journal |
| issn | 1000-2758 2609-7125 |
| language | zho |
| last_indexed | 2024-03-11T20:36:36Z |
| publishDate | 2020-12-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | Xibei Gongye Daxue Xuebao |
| spelling | doaj.art-b743a568ebe3418a8ea6cd5d34422a9d2023-10-02T06:24:24ZzhoEDP SciencesXibei Gongye Daxue Xuebao1000-27582609-71252020-12-013861146115310.1051/jnwpu/20203861146jnwpu2020386p1146Aerial Target Tracking Based on Frequency-Domain Gabor Filters and Correlation Filters under Complex Interference Environment01234School of Astronautics, Northwestern Polytechnical UniversitySchool of Astronautics, Northwestern Polytechnical UniversitySchool of Astronautics, Northwestern Polytechnical UniversitySchool of Astronautics, Northwestern Polytechnical UniversitySchool of Astronautics, Northwestern Polytechnical UniversityAerial infrared target automatic tracking technology is the core technology of the photoelectric countermeasure system of infrared imaging missiles. Aiming at challenging conditions of complex battlefield environment, large scale change of air target, infrared interference partial occlusion and so on, we propose a new correlation filtering algorithm based on Gabor filtering features in the frequency domain for aerial infrared target tracking. This algorithm constructs a set of frequency-domain Gabor filters, which extracts frequency-domain Gabor filtering(GF) features of the target image block and reduces dimension fusion, thereby effectively suppressing background noise and highlighting target texture information. According to the characteristics and variation law of spectrum energy distribution, the eigenvectors of target spectrum scale are extracted to improve the accuracy of target scale information estimation. High-confidence patches are used to track the reliable part of the target, and the energy distribution of the tracking box is calculated to predict the occluded part of the target simultaneously. This method provides more target information and improves the robustness of the algorithm in case of reappearance of the occluded target. Compared with other tracking algorithms, the average accuracy of the proposed algorithm was improved by 15.2%, and the frame frequency reached above 110 Hz.https://www.jnwpu.org/articles/jnwpu/full_html/2020/06/jnwpu2020386p1146/jnwpu2020386p1146.htmlaerial infrared targetfrequency-domain gabor filtercorrelation filterhigh-confidence patches |
| spellingShingle | Aerial Target Tracking Based on Frequency-Domain Gabor Filters and Correlation Filters under Complex Interference Environment Xibei Gongye Daxue Xuebao aerial infrared target frequency-domain gabor filter correlation filter high-confidence patches |
| title | Aerial Target Tracking Based on Frequency-Domain Gabor Filters and Correlation Filters under Complex Interference Environment |
| title_full | Aerial Target Tracking Based on Frequency-Domain Gabor Filters and Correlation Filters under Complex Interference Environment |
| title_fullStr | Aerial Target Tracking Based on Frequency-Domain Gabor Filters and Correlation Filters under Complex Interference Environment |
| title_full_unstemmed | Aerial Target Tracking Based on Frequency-Domain Gabor Filters and Correlation Filters under Complex Interference Environment |
| title_short | Aerial Target Tracking Based on Frequency-Domain Gabor Filters and Correlation Filters under Complex Interference Environment |
| title_sort | aerial target tracking based on frequency domain gabor filters and correlation filters under complex interference environment |
| topic | aerial infrared target frequency-domain gabor filter correlation filter high-confidence patches |
| url | https://www.jnwpu.org/articles/jnwpu/full_html/2020/06/jnwpu2020386p1146/jnwpu2020386p1146.html |