A Survey of Fish Tracking Techniques Based on Computer Vision
- URL: http://arxiv.org/abs/2110.02551v4
- Date: Mon, 6 Nov 2023 06:03:40 GMT
- Title: A Survey of Fish Tracking Techniques Based on Computer Vision
- Authors: Weiran Li, Zhenbo Li, Fei Li, Meng Yuan, Chaojun Cen, Yanyu Qi,
Qiannan Guo, You Li
- Abstract summary: This paper presents a review of the advancements of fish tracking technologies over the past seven years-2023.
It explores diverse fish tracking techniques with an emphasis on fundamental localization and tracking methods.
It also summarizes open-source datasets, evaluation metrics, challenges, and applications in fish tracking research.
- Score: 11.994865945394139
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Fish tracking is a key technology for obtaining movement trajectories and
identifying abnormal behavior. However, it faces considerable challenges,
including occlusion, multi-scale tracking, and fish deformation. Notably,
extant reviews have focused more on behavioral analysis rather than providing a
comprehensive overview of computer vision-based fish tracking approaches. This
paper presents a comprehensive review of the advancements of fish tracking
technologies over the past seven years (2017-2023). It explores diverse fish
tracking techniques with an emphasis on fundamental localization and tracking
methods. Auxiliary plugins commonly integrated into fish tracking systems, such
as underwater image enhancement and re-identification, are also examined.
Additionally, this paper summarizes open-source datasets, evaluation metrics,
challenges, and applications in fish tracking research. Finally, a
comprehensive discussion offers insights and future directions for vision-based
fish tracking techniques. We hope that our work could provide a partial
reference in the development of fish tracking algorithms.
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