Research on an Underwater Target-Tracking Method Based on Zernike Moment Feature Matching-Reference-Cited by-同舟云学术

Research on an Underwater Target-Tracking Method Based on Zernike Moment Feature Matching

Published:2023-08-14 Issue:8 Volume:11 Page:1594
ISSN:2077-1312
Container-title:Journal of Marine Science and Engineering
language:en
Short-container-title:JMSE

Author:

Gao Wenhan¹,Zhou Shanmin²,Liu Shuo¹³⁴^ORCID,Wang Tao¹⁴^ORCID,Zhang Bingbing¹,Xia Tian¹,Cai Yong²,Leng Jianxing⁵

Affiliation:

1. Key Laboratory of Ocean Observation-Imaging Testbed of Zhejiang Province, Zhejiang University, Zhoushan 316021, China

2. Ocean Research Center of Zhoushan, Zhejiang University, Zhoushan 316021, China

3. Hainan Institute, Zhejiang University, Sanya 572025, China

4. The Engineering Research Center of Oceanic Sensing Technology and Equipment, Ministry of Education, Zhoushan 316000, China

5. Ocean College, Zhejiang University, Zhoushan 316000, China

Abstract

Sonar images have the characteristics of lower resolution and blurrier edges compared to optical images, which make the feature-matching method in underwater target tracking less robust. To solve this problem, we propose a particle filter (PF)-based underwater target-tracking method utilizing Zernike moment feature matching. Zernike moments are used to construct the feature-description vector for feature matching and contribute to the update of particle weights. In addition, the particle state transition method is optimized by using a first-order autoregressive model. In this paper, we compare Hu moments and Zernike moments, and we also compare whether to optimize the particle state transition on the tracking results or not based on the effects of each option. The experimental results based on the AUV (autonomous underwater vehicle) prove that the robustness and accuracy of this innovative method is better than the other combined methods mentioned in this paper.

Funder

“Pioneer” and “Leading Goose” R&D Program of Zhejiang

Research Program of Sanya Yazhou Bay Science and Technology City

Strategic Priority Research Program of the Chinese Academy of Sciences

Fundamental Research Funds for the Central Universities

Publisher

MDPI AG

Subject

Ocean Engineering,Water Science and Technology,Civil and Structural Engineering

Link

https://www.mdpi.com/2077-1312/11/8/1594/pdf

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