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200 papers

This research presents a novel application of computer vision (CV) and deep learning methods for real-time sea state recognition, aiming to contribute to improving the operational safety and energy efficiency of seagoing vessels, key…

Computer Vision and Pattern Recognition · Computer Science 2024-07-09 Aleksandar Vorkapic , Miran Pobar , Marina Ivasic-Kos

With the rise of focus on man made changes to our planet and wildlife therein, more and more emphasis is put on sustainable and responsible gathering of resources. In an effort to preserve maritime wildlife the Norwegian government has…

Computer Vision and Pattern Recognition · Computer Science 2020-03-03 Herman Stavelin , Adil Rasheed , Omer San , Arne Johan Hestnes

Controlling fish feeding machine is challenging problem because experienced fishermen can adequately control based on assumption. To build robust method for reasonable application, we propose automatic controlling fish feeding machine based…

Computer Vision and Pattern Recognition · Computer Science 2022-08-16 Hilmil Pradana , Keiichi Horio

The ability to detect pedestrians and other moving objects is crucial for an autonomous vehicle. This must be done in real-time with minimum system overhead. This paper discusses the implementation of a surround view system to identify…

Computer Vision and Pattern Recognition · Computer Science 2018-09-03 Iljoo Baek , Albert Davies , Geng Yan , Ragunathan , Rajkumar

Coral reefs formulate the most valuable and productive marine ecosystems, providing habitat for many marine species. Coral reef surveying and analysis are currently confined to coral experts who invest substantial effort in generating…

Computer Vision and Pattern Recognition · Computer Science 2023-10-04 Zheng Ziqiang , Xie Yaofeng , Liang Haixin , Yu Zhibin , Sai-Kit Yeung

Accurate quantification of the physical exposure area of beach litter, rather than simple item counts, is essential for credible ecological risk assessment of marine debris. However, automated UAV-based monitoring predominantly relies on…

Computer Vision and Pattern Recognition · Computer Science 2026-04-24 Yongying Liu , Jiaqi Wang , Jian Song , Xinlei Shao , Yijia Chen , Nan Xu , Katsunori Mizuno , Shigeru Tabeta , Fan Zhao

Increasing interest in the acquisition of biotic and abiotic resources from within the deep sea (e.g. fisheries, oil-gas extraction, and mining) urgently imposes the development of novel monitoring technologies, beyond the traditional…

According to the EPA, only 25% of waste is recycled, and just 60% of U.S. municipalities offer curbside recycling. Plastics fare worse, with a recycling rate of only 8%; an additional 16% is incinerated, while the remaining 76% ends up in…

Computer Vision and Pattern Recognition · Computer Science 2025-05-23 Vaishali Maheshkar , Aadarsh Anantha Ramakrishnan , Charuvahan Adhivarahan , Karthik Dantu

Underwater image enhancement is such an important vision task due to its significance in marine engineering and aquatic robot. It is usually work as a pre-processing step to improve the performance of high level vision tasks such as…

Computer Vision and Pattern Recognition · Computer Science 2020-06-30 Long Chen , Lei Tong , Feixiang Zhou , Zheheng Jiang , Zhenyang Li , Jialin Lv , Junyu Dong , Huiyu Zhou

Digital aquaculture leverages advanced technologies and data-driven methods, providing substantial benefits over traditional aquaculture practices. This paper presents a comprehensive review of three interconnected digital aquaculture…

Quantitative Methods · Quantitative Biology 2025-03-04 Meng Cui , Xubo Liu , Haohe Liu , Jinzheng Zhao , Daoliang Li , Wenwu Wang

This paper underscores the importance of environmental monitoring, and specifically of freshwater ecosystems, which play a critical role in sustaining life and global economy. Despite their importance, insufficient data availability…

Robotics · Computer Science 2024-11-01 Andrea Giordano , Luca Romanello , Diego Perez Gonzalez , Mirko Kovac , Sophie F. Armanini

Effective conservation of maritime environments and wildlife management of endangered species require the implementation of efficient, accurate and scalable solutions for environmental monitoring. Ecoacoustics offers the advantages of…

Sound · Computer Science 2025-07-29 Burla Nur Korkmaz , Roee Diamant , Gil Danino , Alberto Testolin

Indiscernible marine object counting encounters numerous challenges, including limited visibility in underwater scenes, mutual occlusion and overlap among objects, and the dynamic similarity in appearance, color, and texture between the…

Computer Vision and Pattern Recognition · Computer Science 2025-03-12 Chengzhi Ma , Kunqian Li , Shuaixin Liu , Han Mei

Coral reefs, crucial for sustaining marine biodiversity and ecological processes (e.g., nutrient cycling, habitat provision), face escalating threats, underscoring the need for efficient monitoring. Coral reef ecological monitoring faces…

Computer Vision and Pattern Recognition · Computer Science 2025-05-30 Mingzhuang Wang , Yvyang Li , Xiyang Zhang , Fei Tan , Qi Shi , Guotao Zhang , Siqi Chen , Yufei Liu , Lei Lei , Ming Zhou , Qiang Lin , Hongqiang Yang

In ecological research, accurately collecting spatiotemporal position data is a fundamental task for understanding the behavior and ecology of insects and other organisms. In recent years, advancements in computer vision techniques have…

Computer Vision and Pattern Recognition · Computer Science 2024-02-01 Daisuke Mori , Hiroki Hayami , Yasufumi Fujimoto , Isao Goto

Water level monitoring is critical for flood management, water resource allocation, and ecological assessment, yet traditional methods remain costly and limited in coverage. This work explores radar-based sensing as a low-cost alternative…

Robotics · Computer Science 2026-01-08 Anna Zavei-Boroda , J. Toby Minear , Kyle Harlow , Dusty Woods , Christoffer Heckman

This paper presents the integration of flow field reconstruction, dynamic probabilistic modeling, search control, and machine vision detection in a system for autonomous maritime search operations. Field experiments conducted in Valun Bay…

Ocean scientists have been collecting visual data to study marine organisms for decades. These images and videos are extremely valuable both for basic science and environmental monitoring tasks. There are tools for automatically processing…

Computer Vision and Pattern Recognition · Computer Science 2023-07-19 Eric Orenstein , Kevin Barnard , Lonny Lundsten , Geneviève Patterson , Benjamin Woodward , Kakani Katija

Indonesia's marine ecosystems, part of the globally recognized Coral Triangle, are among the richest in biodiversity, requiring efficient monitoring tools to support conservation. Traditional fish detection methods are time-consuming and…

Computer Vision and Pattern Recognition · Computer Science 2025-09-23 Jonathan Wuntu , Muhamad Dwisnanto Putro , Rendy Syahputra

This paper presents the AquaMonitor dataset, the first large computer vision dataset of aquatic invertebrates collected during routine environmental monitoring. While several large species identification datasets exist, they are rarely…

Computer Vision and Pattern Recognition · Computer Science 2025-05-29 Mikko Impiö , Philipp M. Rehsen , Tiina Laamanen , Arne J. Beermann , Florian Leese , Jenni Raitoharju