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Effective conservation actions require effective population monitoring. However, accurately counting animals in the wild to inform conservation decision-making is difficult. Monitoring populations through image sampling has made data…

Computer Vision and Pattern Recognition · Computer Science 2022-10-12 Penny Tarling , Mauricio Cantor , Albert Clapés , Sergio Escalera

Uses of underwater videos to assess diversity and abundance of fish are being rapidly adopted by marine biologists. Manual processing of videos for quantification by human analysts is time and labour intensive. Automatic processing of…

Computer Vision and Pattern Recognition · Computer Science 2018-07-17 Ranju Mandal , Rod M. Connolly , Thomas A. Schlacherz , Bela Stantic

Visual analysis of complex fish habitats is an important step towards sustainable fisheries for human consumption and environmental protection. Deep Learning methods have shown great promise for scene analysis when trained on large-scale…

Computer Vision and Pattern Recognition · Computer Science 2020-08-31 Alzayat Saleh , Issam H. Laradji , Dmitry A. Konovalov , Michael Bradley , David Vazquez , Marcus Sheaves

The ability to estimate invertebrate biomass using only images could help scaling up quantitative biodiversity monitoring efforts. Computer vision-based methods have the potential to omit the manual, time-consuming, and destructive process…

Computer Vision and Pattern Recognition · Computer Science 2026-03-09 Mikko Impiö , Philipp M. Rehsen , Jarrett Blair , Cecilie Mielec , Arne J. Beermann , Florian Leese , Toke T. Høye , Jenni Raitoharju

Underwater acoustic cameras are high potential devices for many applications in ecology, notably for fisheries management and monitoring. However how to extract such data into high value information without a time-consuming entire dataset…

Computer Vision and Pattern Recognition · Computer Science 2022-08-30 Guglielmo Fernandez Garcia , François Martignac , Marie Nevoux , Laurent Beaulaton , Thomas Corpetti

During the last two decades, various models have been proposed for fish collective motion. These models are mainly developed to decipher the biological mechanisms of social interaction between animals. They consider very simple homogeneous…

Neural and Evolutionary Computing · Computer Science 2019-07-23 Leo Cazenille , Nicolas Bredeche , José Halloy

Marine scientists use remote underwater video recording to survey fish species in their natural habitats. This helps them understand and predict how fish respond to climate change, habitat degradation, and fishing pressure. This information…

Computer Vision and Pattern Recognition · Computer Science 2022-04-19 Alzayat Saleh , Marcus Sheaves , Mostafa Rahimi Azghadi

Easily accessible sensors, like drones with diverse onboard sensors, have greatly expanded studying animal behavior in natural environments. Yet, analyzing vast, unlabeled video data, often spanning hours, remains a challenge for machine…

Computer Vision and Pattern Recognition · Computer Science 2024-07-08 Duc Pham , Matthew Hansen , Félicie Dhellemmes , Jens Krause , Pia Bideau

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…

Fish stock assessment often involves manual fish counting by taxonomy specialists, which is both time-consuming and costly. We propose FishNet, an automated computer vision system for both taxonomic classification and fish size estimation…

Computer Vision and Pattern Recognition · Computer Science 2024-07-01 Moseli Mots'oehli , Anton Nikolaev , Wawan B. IGede , John Lynham , Peter J. Mous , Peter Sadowski

Technological advances in underwater video recording are opening novel opportunities for monitoring wild fish. However, extracting data from videos is often challenging. Nevertheless, it has been recently demonstrated that accurate and…

The marine ecosystem is changing at an alarming rate, exhibiting biodiversity loss and the migration of tropical species to temperate basins. Monitoring the underwater environments and their inhabitants is of fundamental importance to…

Sound · Computer Science 2022-01-17 Michele Mancusi , Nicola Zonca , Emanuele Rodolà , Silvia Zuffi

Understanding how biological communities respond to environmental changes is a key challenge in ecology and ecosystem management. The apparent decline of insect populations necessitates more biomonitoring but the time-consuming sorting and…

The target of this paper is to recommend a way for Automated classification of Fish species. A high accuracy fish classification is required for greater understanding of fish behavior in Ichthyology and by marine biologists. Maintaining a…

Computer Vision and Pattern Recognition · Computer Science 2018-05-28 Dhruv Rathi , Sushant Jain , Dr. S. Indu

Tracking the abundance of underwater species is crucial for understanding the effects of climate change on marine ecosystems. Biologists typically monitor underwater sites with echosounders and visualize data as 2D images (echograms); they…

Corals are the primary habitat-building life-form on reefs that support a quarter of the species in the ocean. A coral reef ecosystem usually consists of reefs, each of which is like a tall building in any city. These reef-building corals…

Computer Vision and Pattern Recognition · Computer Science 2022-12-09 Jiageng Zhong , Ming Li , Hanqi Zhang , Jiangying Qin

The increasing demand for aquaculture production necessitates the development of innovative, intelligent tools to effectively monitor and manage fish health and welfare. While non-invasive video monitoring has become a common practice in…

Computer Vision and Pattern Recognition · Computer Science 2025-11-07 Lukas Folkman , Quynh LK Vo , Colin Johnston , Bela Stantic , Kylie A Pitt

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

Tracking fish movements and sizes of fish is crucial to understanding their ecology and behaviour. Knowing where fish migrate, how they interact with their environment, and how their size affects their behaviour can help ecologists develop…

Computer Vision and Pattern Recognition · Computer Science 2025-02-27 Alzayat Saleh , Marcus Sheaves , Dean Jerry , Mostafa Rahimi Azghadi

Coral reefs are among the most diverse ecosystems on our planet, and are depended on by hundreds of millions of people. Unfortunately, most coral reefs are existentially threatened by global climate change and local anthropogenic pressures.…

Computer Vision and Pattern Recognition · Computer Science 2023-09-25 Jonathan Sauder , Guilhem Banc-Prandi , Anders Meibom , Devis Tuia
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