Feature Tracking for Target Identification in Acoustic Image Sequences

被引：0

作者：

Gao, Jue ^{[1
]}

Gu, Ya ^{[1
]}

Zhu, Peiyi ^{[1
]}

机构：

[1] School of Electrical Engineering and Automation, Changshu Institute of Technology, Changshu, Jiangsu,215500, China

来源：

Complexity | 2021年 / 2021卷

关键词：

Feature tracking algorithm - Potential targets - Quantitative investigation - Statistical datas - Target identification - Tracking trajectory - Underwater scenes - Underwater target identification;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

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. © 2021 Jue Gao et al.

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