Feature Tracking for Target Identification in Acoustic Image Sequences
This paper proposes underwater target identification with local features and a feature tracking algorithm for acoustic image sequences. Feature detectors and descriptors are key to feature tracking. Their performance in underwater scene is evaluated by the change of multitarget parameters. A compreh...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/8885821 |
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| _version_ | 1849396267099095040 |
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| author | Jue Gao Ya Gu Peiyi Zhu |
| author_facet | Jue Gao Ya Gu Peiyi Zhu |
| author_sort | Jue Gao |
| collection | DOAJ |
| description | This paper proposes underwater target identification with local features and a feature tracking algorithm for acoustic image sequences. Feature detectors and descriptors are key to feature tracking. Their performance in underwater scene is evaluated by the change of multitarget parameters. A comprehensive quantitative investigation into the performance of feature tracking is thereby presented. Experimental results confirm that the proposed algorithm can accurately track potential targets and determine whether the potential targets are static targets, dynamic targets, or false alarms according to the tracking trajectories and statistical data. |
| format | Article |
| id | doaj-art-b50e88612e6e4ff8b8fa301078a2b169 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-b50e88612e6e4ff8b8fa301078a2b1692025-08-20T03:39:22ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/88858218885821Feature Tracking for Target Identification in Acoustic Image SequencesJue Gao0Ya Gu1Peiyi Zhu2School of Electrical Engineering and Automation, Changshu Institute of Technology, Changshu 215500, Jiangsu, ChinaSchool of Electrical Engineering and Automation, Changshu Institute of Technology, Changshu 215500, Jiangsu, ChinaSchool of Electrical Engineering and Automation, Changshu Institute of Technology, Changshu 215500, Jiangsu, ChinaThis paper proposes underwater target identification with local features and a feature tracking algorithm for acoustic image sequences. Feature detectors and descriptors are key to feature tracking. Their performance in underwater scene is evaluated by the change of multitarget parameters. A comprehensive quantitative investigation into the performance of feature tracking is thereby presented. Experimental results confirm that the proposed algorithm can accurately track potential targets and determine whether the potential targets are static targets, dynamic targets, or false alarms according to the tracking trajectories and statistical data.http://dx.doi.org/10.1155/2021/8885821 |
| spellingShingle | Jue Gao Ya Gu Peiyi Zhu Feature Tracking for Target Identification in Acoustic Image Sequences Complexity |
| title | Feature Tracking for Target Identification in Acoustic Image Sequences |
| title_full | Feature Tracking for Target Identification in Acoustic Image Sequences |
| title_fullStr | Feature Tracking for Target Identification in Acoustic Image Sequences |
| title_full_unstemmed | Feature Tracking for Target Identification in Acoustic Image Sequences |
| title_short | Feature Tracking for Target Identification in Acoustic Image Sequences |
| title_sort | feature tracking for target identification in acoustic image sequences |
| url | http://dx.doi.org/10.1155/2021/8885821 |
| work_keys_str_mv | AT juegao featuretrackingfortargetidentificationinacousticimagesequences AT yagu featuretrackingfortargetidentificationinacousticimagesequences AT peiyizhu featuretrackingfortargetidentificationinacousticimagesequences |