English
Related papers

Related papers: Movement Tracks for the Automatic Detection of Fis…

200 papers

Recent advancements in cabled ocean observatories have increased the quality and prevalence of underwater videos; this data enables the extraction of high-level biologically relevant information such as species' behaviours. Despite this…

Computer Vision and Pattern Recognition · Computer Science 2022-11-21 Declan McIntosh , Tunai Porto Marques , Alexandra Branzan Albu , Rodney Rountree , Fabio De Leo

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

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

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 remote and difficult to access nature, marine environments…

Computer Vision and Pattern Recognition · Computer Science 2022-06-14 Alzayat Saleh , Marcus Sheaves , Dean Jerry , 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

Clean energy from oceans and rivers is becoming a reality with the development of new technologies like tidal and instream turbines that generate electricity from naturally flowing water. These new technologies are being monitored for…

Computer Vision and Pattern Recognition · Computer Science 2018-11-06 Wenwei Xu , Shari Matzner

Behavior analysis of animals involves the observation of intraspecific and interspecific interactions among various organisms in the environment. Collective behavior such as herding in farm animals, flocking of birds, and shoaling and…

Computer Vision and Pattern Recognition · Computer Science 2020-06-30 Riza Rae Pineda , Kristofer delas Peñas , Dana Manogan

Most deep-learning frameworks for understanding biological swarms are designed to fit perceptive models of group behavior to individual-level data (e.g., spatial coordinates of identified features of individuals) that have been separately…

Computational Engineering, Finance, and Science · Computer Science 2021-08-24 Taeyeong Choi , Benjamin Pyenson , Juergen Liebig , Theodore P. Pavlic

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

Jellyfish, a diverse group of gelatinous marine organisms, play a crucial role in maintaining marine ecosystems but pose significant challenges for biodiversity and conservation due to their rapid proliferation and ecological impact.…

Computer Vision and Pattern Recognition · Computer Science 2025-07-16 Md. Sabbir Hossen , Md. Saiduzzaman , Pabon Shaha , Mostofa Kamal Nasir

We present a system for online monitoring of maritime activity over streaming positions from numerous vessels sailing at sea. It employs an online tracking module for detecting important changes in the evolving trajectory of each vessel…

Computer Vision and Pattern Recognition · Computer Science 2018-12-18 Kostas Patroumpas , Elias Alevizos , Alexander Artikis , Marios Vodas , Nikos Pelekis , Yannis Theodoridis

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

Identifying unusual driving behaviors exhibited by drivers during driving is essential for understanding driver behavior and the underlying causes of crashes. Previous studies have primarily approached this problem as a classification task,…

Computer Vision and Pattern Recognition · Computer Science 2023-04-18 Armstrong Aboah , Ulas Bagci , Abdul Rashid Mussah , Neema Jakisa Owor , Yaw Adu-Gyamfi

In many sports, it is useful to analyse video of an athlete in competition for training purposes. In swimming, stroke rate is a common metric used by coaches; requiring a laborious labelling of each individual stroke. We show that using a…

Computer Vision and Pattern Recognition · Computer Science 2017-05-30 Brandon Victor , Zhen He , Stuart Morgan , Dino Miniutti

The global expansion of maritime activities and the development of the Automatic Identification System (AIS) have driven the advances in maritime monitoring systems in the last decade. Monitoring vessel behavior is fundamental to safeguard…

Machine Learning · Computer Science 2020-04-09 Lucas May Petry , Amilcar Soares , Vania Bogorny , Bruno Brandoli , Stan Matwin

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…

The worldwide growth of maritime traffic and the development of the Automatic Identification System (AIS) has led to advances in monitoring systems for preventing vessel accidents and detecting illegal activities. In this work, we describe…

Machine Learning · Computer Science 2019-08-15 Lucas May Petry , Amilcar Soares , Vania Bogorny , Stan Matwin

Waterline usually plays as an important visual cue for maritime applications. However, the visual complexity of inland waterline presents a significant challenge for the development of highly efficient computer vision algorithms tailored…

Computer Vision and Pattern Recognition · Computer Science 2019-11-26 Jing Huang , Hengfeng Miao , Lin Li , Yuanqiao Wen , Changshi Xiao

Critical evaluation and understanding of ship responses in the ocean is important for not only the design and engineering of future platforms but also the operation and safety of those that are currently deployed. Simulations or experiments…

Machine Learning · Computer Science 2023-01-25 Kevin M. Silva , Kevin J. Maki

Identifying underlying governing equations and physical relevant information from high-dimensional observable data has always been a challenge in physical sciences. With the recent advances in sensing technology and available datasets,…

Machine Learning · Computer Science 2021-04-27 Yayati Jadhav , Amir Barati Farimani
‹ Prev 1 2 3 10 Next ›