Unmanned Aerial Vehicle Object Tracking by Correlation Filter with Adaptive Appearance Model
With the increasing availability of low-cost, commercially available unmanned aerial vehicles (UAVs), visual tracking using UAVs has become more and more important due to its many new applications, including automatic navigation, obstacle avoidance, traffic monitoring, search and rescue, etc. Howeve...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-08-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/18/9/2751 |
| _version_ | 1798034170106085376 |
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| author | Xizhe Xue Ying Li Qiang Shen |
| author_facet | Xizhe Xue Ying Li Qiang Shen |
| author_sort | Xizhe Xue |
| collection | DOAJ |
| description | With the increasing availability of low-cost, commercially available unmanned aerial vehicles (UAVs), visual tracking using UAVs has become more and more important due to its many new applications, including automatic navigation, obstacle avoidance, traffic monitoring, search and rescue, etc. However, real-world aerial tracking poses many challenges due to platform motion and image instability, such as aspect ratio change, viewpoint change, fast motion, scale variation and so on. In this paper, an efficient object tracking method for UAV videos is proposed to tackle these challenges. We construct the fused features to capture the gradient information and color characteristics simultaneously. Furthermore, cellular automata is introduced to update the appearance template of target accurately and sparsely. In particular, a high confidence model updating strategy is developed according to the stability function. Systematic comparative evaluations performed on the popular UAV123 dataset show the efficiency of the proposed approach. |
| first_indexed | 2024-04-11T20:40:30Z |
| format | Article |
| id | doaj.art-310c06eaf1094de38cdacd75b14628ba |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T20:40:30Z |
| publishDate | 2018-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-310c06eaf1094de38cdacd75b14628ba2022-12-22T04:04:13ZengMDPI AGSensors1424-82202018-08-01189275110.3390/s18092751s18092751Unmanned Aerial Vehicle Object Tracking by Correlation Filter with Adaptive Appearance ModelXizhe Xue0Ying Li1Qiang ShenSchool of Computer Science and Engineering, Northwestern Polytechnical University, Xi’an 710129, Shaanxi, ChinaSchool of Computer Science and Engineering, Northwestern Polytechnical University, Xi’an 710129, Shaanxi, ChinaWith the increasing availability of low-cost, commercially available unmanned aerial vehicles (UAVs), visual tracking using UAVs has become more and more important due to its many new applications, including automatic navigation, obstacle avoidance, traffic monitoring, search and rescue, etc. However, real-world aerial tracking poses many challenges due to platform motion and image instability, such as aspect ratio change, viewpoint change, fast motion, scale variation and so on. In this paper, an efficient object tracking method for UAV videos is proposed to tackle these challenges. We construct the fused features to capture the gradient information and color characteristics simultaneously. Furthermore, cellular automata is introduced to update the appearance template of target accurately and sparsely. In particular, a high confidence model updating strategy is developed according to the stability function. Systematic comparative evaluations performed on the popular UAV123 dataset show the efficiency of the proposed approach.http://www.mdpi.com/1424-8220/18/9/2751UAV videovisual trackingcorrelation filtercellular automataadaptive appearance model |
| spellingShingle | Xizhe Xue Ying Li Qiang Shen Unmanned Aerial Vehicle Object Tracking by Correlation Filter with Adaptive Appearance Model Sensors UAV video visual tracking correlation filter cellular automata adaptive appearance model |
| title | Unmanned Aerial Vehicle Object Tracking by Correlation Filter with Adaptive Appearance Model |
| title_full | Unmanned Aerial Vehicle Object Tracking by Correlation Filter with Adaptive Appearance Model |
| title_fullStr | Unmanned Aerial Vehicle Object Tracking by Correlation Filter with Adaptive Appearance Model |
| title_full_unstemmed | Unmanned Aerial Vehicle Object Tracking by Correlation Filter with Adaptive Appearance Model |
| title_short | Unmanned Aerial Vehicle Object Tracking by Correlation Filter with Adaptive Appearance Model |
| title_sort | unmanned aerial vehicle object tracking by correlation filter with adaptive appearance model |
| topic | UAV video visual tracking correlation filter cellular automata adaptive appearance model |
| url | http://www.mdpi.com/1424-8220/18/9/2751 |
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