Recent advances of target tracking applications in aquaculture with emphasis on fish
Y Mei, B Sun, D Li, H Yu, H Qin, H Liu, N Yan… - … and Electronics in …, 2022 - Elsevier
In aquaculture, Behavioral monitoring of fish contributes to scientific management and
reduces the threat of loss from disease and stress. Fish tracking technology plays an …
reduces the threat of loss from disease and stress. Fish tracking technology plays an …
[HTML][HTML] Applications of deep learning in fish habitat monitoring: A tutorial and survey
Marine ecosystems and their fish habitats are becoming increasingly important due to their
integral role in providing a valuable food source and conservation outcomes. Due to their …
integral role in providing a valuable food source and conservation outcomes. Due to their …
Computer vision and deep learning for fish classification in underwater habitats: A survey
Marine scientists use remote underwater image and video recording to survey fish species
in their natural habitats. This helps them get a step closer towards understanding and …
in their natural habitats. This helps them get a step closer towards understanding and …
A realistic fish-habitat dataset to evaluate algorithms for underwater visual analysis
Visual analysis of complex fish habitats is an important step towards sustainable fisheries for
human consumption and environmental protection. Deep Learning methods have shown …
human consumption and environmental protection. Deep Learning methods have shown …
Video image enhancement and machine learning pipeline for underwater animal detection and classification at cabled observatories
V Lopez-Vazquez, JM Lopez-Guede, S Marini… - Sensors, 2020 - mdpi.com
An understanding of marine ecosystems and their biodiversity is relevant to sustainable use
of the goods and services they offer. Since marine areas host complex ecosystems, it is …
of the goods and services they offer. Since marine areas host complex ecosystems, it is …
Fish shoals behavior detection based on convolutional neural network and spatiotemporal information
F Han, J Zhu, B Liu, B Zhang, F Xie - IEEE access, 2020 - ieeexplore.ieee.org
Behavior is the first visible change in an animal species after exposure to its own or
environmental stressors and is a sensitive indicator. Fish are social animals, and the …
environmental stressors and is a sensitive indicator. Fish are social animals, and the …
[HTML][HTML] Environmentally adaptive fish or no-fish classification for river video fish counters using high-performance desktop and embedded hardware
Automated fish counters featuring robust, real-time computer vision capabilities can provide
a cost-effective means to count migrating freshwater fish. In this work, we propose a four …
a cost-effective means to count migrating freshwater fish. In this work, we propose a four …
Integrate MSRCR and mask R-CNN to recognize underwater creatures on small sample datasets
S Song, J Zhu, X Li, Q Huang - IEEE Access, 2020 - ieeexplore.ieee.org
The poor quality of optical imaging caused by the complex and varying underwater
environment is a significant challenge to underwater target recognition. Moreover, the …
environment is a significant challenge to underwater target recognition. Moreover, the …
[HTML][HTML] 融合SKNet 与YOLOv5 深度学习的养殖鱼群检测
赵梦, 于红, 李海清, 胥婧雯, 程思奇, 谷立帅… - 大连海洋大学 …, 2022 - xuebao.dlou.edu.cn
为解决真实养殖环境下, 水下成像模糊, 失真等导致鱼群检测准确率低的问题,
提出一种融合视觉注意力机制SKNet (selective kernel networks) 与YOLOv5 (you only look …
提出一种融合视觉注意力机制SKNet (selective kernel networks) 与YOLOv5 (you only look …
An intelligent and cost-effective remote underwater video device for fish size monitoring
G Coro, MB Walsh - Ecological Informatics, 2021 - Elsevier
Monitoring the size of key indicator species of fish is important to understand ecosystem
functions, anthropogenic stress, and population dynamics. Standard methodologies gather …
functions, anthropogenic stress, and population dynamics. Standard methodologies gather …