Development of a multi-object tracking algorithm with untrained features of object matching
The problem of multiple object tracking is one of the most difficult tasks in computer vision. The article is devoted to a task of multiple object tracking on video footage received from an unmanned aerial vehicle. Unlike a static camera platform, the mobile platform causes an accidental camera move...
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| Format: | Article |
| Language: | English |
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Samara National Research University
2023-12-01
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| Series: | Компьютерная оптика |
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| Online Access: | https://www.computeroptics.ru/eng/KO/Annot/KO47-6/470618e.html |
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| author | V.A. Gorbachev V.F. Kalugin |
| author_facet | V.A. Gorbachev V.F. Kalugin |
| author_sort | V.A. Gorbachev |
| collection | DOAJ |
| description | The problem of multiple object tracking is one of the most difficult tasks in computer vision. The article is devoted to a task of multiple object tracking on video footage received from an unmanned aerial vehicle. Unlike a static camera platform, the mobile platform causes an accidental camera movement, which leads to sudden changes in the position, angle and scale of objects. Such aspects considerably hinder efficient object tracking. In this paper, we explore the possibilities of improving the tracking quality in the case of camera movements. We significantly outperform ByteTrack algorithm, one of the best tracking algorithms for the MOT Challenge dataset, on the Visdrone 2019 dataset. |
| format | Article |
| id | doaj-art-62255f03febf4766a4caa8b5f6cf1f58 |
| institution | Kabale University |
| issn | 0134-2452 2412-6179 |
| language | English |
| publishDate | 2023-12-01 |
| publisher | Samara National Research University |
| record_format | Article |
| series | Компьютерная оптика |
| spelling | doaj-art-62255f03febf4766a4caa8b5f6cf1f582025-01-30T11:10:28ZengSamara National Research UniversityКомпьютерная оптика0134-24522412-61792023-12-014761002101010.18287/2412-6179-CO-1275Development of a multi-object tracking algorithm with untrained features of object matchingV.A. Gorbachev0V.F. Kalugin1State Research Institute of Aviation SystemsState Research Institute of Aviation SystemsThe problem of multiple object tracking is one of the most difficult tasks in computer vision. The article is devoted to a task of multiple object tracking on video footage received from an unmanned aerial vehicle. Unlike a static camera platform, the mobile platform causes an accidental camera movement, which leads to sudden changes in the position, angle and scale of objects. Such aspects considerably hinder efficient object tracking. In this paper, we explore the possibilities of improving the tracking quality in the case of camera movements. We significantly outperform ByteTrack algorithm, one of the best tracking algorithms for the MOT Challenge dataset, on the Visdrone 2019 dataset.https://www.computeroptics.ru/eng/KO/Annot/KO47-6/470618e.htmlmultiple object trackingyolo v5bytetrackkalman filtervisdrone 2019uav |
| spellingShingle | V.A. Gorbachev V.F. Kalugin Development of a multi-object tracking algorithm with untrained features of object matching Компьютерная оптика multiple object tracking yolo v5 bytetrack kalman filter visdrone 2019 uav |
| title | Development of a multi-object tracking algorithm with untrained features of object matching |
| title_full | Development of a multi-object tracking algorithm with untrained features of object matching |
| title_fullStr | Development of a multi-object tracking algorithm with untrained features of object matching |
| title_full_unstemmed | Development of a multi-object tracking algorithm with untrained features of object matching |
| title_short | Development of a multi-object tracking algorithm with untrained features of object matching |
| title_sort | development of a multi object tracking algorithm with untrained features of object matching |
| topic | multiple object tracking yolo v5 bytetrack kalman filter visdrone 2019 uav |
| url | https://www.computeroptics.ru/eng/KO/Annot/KO47-6/470618e.html |
| work_keys_str_mv | AT vagorbachev developmentofamultiobjecttrackingalgorithmwithuntrainedfeaturesofobjectmatching AT vfkalugin developmentofamultiobjecttrackingalgorithmwithuntrainedfeaturesofobjectmatching |