Computer Vision Models in Intelligent Aquaculture with Emphasis on Fish Detection and Behavior Analysis: A Review
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Title
Computer Vision Models in Intelligent Aquaculture with Emphasis on Fish Detection and Behavior Analysis: A Review
Authors
Keywords
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Journal
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-09-05
DOI
10.1007/s11831-020-09486-2
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Note: Only part of the references are listed.- Evaluation of fish feeding intensity in aquaculture using a convolutional neural network and machine vision
- (2019) Chao Zhou et al. AQUACULTURE
- Real-time fish detection in complex backgrounds using probabilistic background modelling
- (2019) Ahmad Salman et al. Ecological Informatics
- Cascaded deep network systems with linked ensemble components for underwater fish detection in the wild
- (2019) Alfonso B. Labao et al. Ecological Informatics
- Fish Tracking Based on Improved TLD Algorithm in Real-World Underwater Environment
- (2019) Junhui Wang et al. MARINE TECHNOLOGY SOCIETY JOURNAL
- Survey of deep learning and architectures for visual captioning—transitioning between media and natural languages
- (2019) Chiranjib Sur MULTIMEDIA TOOLS AND APPLICATIONS
- The virtual doctor: An interactive clinical-decision-support system based on deep learning for non-invasive prediction of diabetes
- (2019) Sebastian Spänig et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Nonintrusive methods for biomass estimation in aquaculture with emphasis on fish: a review
- (2019) Daoliang Li et al. Reviews in Aquaculture
- Modified motion influence map and recurrent neural network-based monitoring of the local unusual behaviors for fish school in intensive aquaculture
- (2018) Jian Zhao et al. AQUACULTURE
- Development and implementation of a fish counter by using an embedded system
- (2018) J.M. Hernández-Ontiveros et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Near infrared computer vision and neuro-fuzzy model-based feeding decision system for fish in aquaculture
- (2018) Chao Zhou et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- A biometric-based model for fish species classification
- (2018) Alaa Tharwat et al. FISHERIES RESEARCH
- Extracting statistically significant behaviour from fish tracking data with and without large dataset cleaning
- (2018) Cigdem Beyan et al. IET Computer Vision
- Three-dimensional location of target fish by monocular infrared imaging sensor based on a L–z correlation model
- (2018) Kai Lin et al. INFRARED PHYSICS & TECHNOLOGY
- Obtaining three-dimensional trajectory of multiple fish in water tank via video tracking
- (2018) Xi En Cheng et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Transferring deep knowledge for object recognition in Low-quality underwater videos
- (2018) Xin Sun et al. NEUROCOMPUTING
- Underwater-Drone With Panoramic Camera for Automatic Fish Recognition Based on Deep Learning
- (2018) Lin Meng et al. IEEE Access
- A Deep learning method for accurate and fast identification of coral reef fishes in underwater images
- (2018) Sébastien Villon et al. Ecological Informatics
- OUP accepted manuscript
- (2018) ICES JOURNAL OF MARINE SCIENCE
- Umbrellas can work under water: Using threatened species as indicator and management surrogates can improve coastal conservation
- (2017) Ben L. Gilby et al. ESTUARINE COASTAL AND SHELF SCIENCE
- Automatic fish species classification in underwater videos: exploiting pre-trained deep neural network models to compensate for limited labelled data
- (2017) Shoaib Ahmed Siddiqui et al. ICES JOURNAL OF MARINE SCIENCE
- A theoretical 2D image model for locating 3D targets
- (2017) Jiafa Mao et al. INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS
- Habitat type and beach exposure shape fish assemblages in the surf zones of ocean beaches
- (2017) HP Borland et al. MARINE ECOLOGY PROGRESS SERIES
- Intelligent feeding control methods in aquaculture with an emphasis on fish: a review
- (2017) Chao Zhou et al. Reviews in Aquaculture
- Habitat type and beach exposure shape fish assemblages in the surf zones of ocean beaches
- (2017) HP Borland et al. MARINE ECOLOGY PROGRESS SERIES
- Feature point based 3D tracking of multiple fish from multi-view images
- (2017) Zhi-Ming Qian et al. PLoS One
- Zebrafish tracking using convolutional neural networks
- (2017) Zhiping XU et al. Scientific Reports
- Object recognition algorithm for the automatic identification and removal of invasive fish
- (2016) Dong Zhang et al. BIOSYSTEMS ENGINEERING
- An effective and robust method for tracking multiple fish in video image based on fish head detection
- (2016) Zhi-Ming Qian et al. BMC BIOINFORMATICS
- Spatial behavioral characteristics and statistics-based kinetic energy modeling in special behaviors detection of a shoal of fish in a recirculating aquaculture system
- (2016) Jian Zhao et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Fish identification from videos captured in uncontrolled underwater environments
- (2016) Faisal Shafait et al. ICES JOURNAL OF MARINE SCIENCE
- A Feature Learning and Object Recognition Framework for Underwater Fish Images
- (2016) Meng-Che Chuang et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Fish species classification in unconstrained underwater environments based on deep learning
- (2016) Ahmad Salman et al. LIMNOLOGY AND OCEANOGRAPHY-METHODS
- Robust tracking of fish schools using CNN for head identification
- (2016) Shuo Hong Wang et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Research on realizing the 3D occlusion tracking location method of fish's school target
- (2016) Jiafa Mao et al. NEUROCOMPUTING
- DeepFish: Accurate underwater live fish recognition with a deep architecture
- (2016) Hongwei Qin et al. NEUROCOMPUTING
- Application of machine vision systems in aquaculture with emphasis on fish: state-of-the-art and key issues
- (2016) Mohammadmehdi Saberioon et al. Reviews in Aquaculture
- Behavioral Characteristics and Statistics-Based Imaging Techniques in the Assessment and Optimization of Tilapia Feeding in a Recirculating Aquaculture System
- (2016) Transactions of the ASABE
- Underwater Fish Tracking for Moving Cameras Based on Deformable Multiple Kernels
- (2016) Meng-Che Chuang et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Fully-automated identification of fish species based on otolith contour: using short-time Fourier transform and discriminant analysis (STFT-DA)
- (2016) Nima Salimi et al. PeerJ
- Deep Fish
- (2016) Omer Ishaq et al. SLAS Discovery
- Automated Planar Tracking the Waving Bodies of Multiple Zebrafish Swimming in Shallow Water
- (2016) Shuo Hong Wang et al. PLoS One
- An automatic counting system for transparent pelagic fish eggs based on computer vision
- (2015) Yane Duan et al. AQUACULTURAL ENGINEERING
- Infrared reflection system for indoor 3D tracking of fish
- (2015) Aliaksandr Pautsina et al. AQUACULTURAL ENGINEERING
- Water quality monitoring using abnormal tail-beat frequency of crucian carp
- (2015) Gang Xiao et al. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
- Tracking Live Fish From Low-Contrast and Low-Frame-Rate Stereo Videos
- (2015) Meng-Che Chuang et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
- Uncertainty-aware estimation of population abundance using machine learning
- (2015) Bastiaan J. Boom et al. MULTIMEDIA SYSTEMS
- Fine-grained object recognition in underwater visual data
- (2015) C. Spampinato et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Automated Fish Detection in Underwater Images Using Shape-Based Level Sets
- (2015) Mehdi Ravanbakhsh et al. PHOTOGRAMMETRIC RECORD
- Sub-second analysis of fish behavior using a novel computer-vision system
- (2014) Vassilis M. Papadakis et al. AQUACULTURAL ENGINEERING
- Measuring feeding activity of fish in RAS using computer vision
- (2014) Ziyi Liu et al. AQUACULTURAL ENGINEERING
- A new method for measuring group behaviours of fish shoals from recorded videos taken in near aquaculture conditions
- (2014) B. Sadoul et al. AQUACULTURE
- Automatically Detect and Track Multiple Fish Swimming in Shallow Water with Frequent Occlusion
- (2014) Zhi-Ming Qian et al. PLoS One
- Automatic identification of species with neural networks
- (2014) Andrés Hernández-Serna et al. PeerJ
- Real-world underwater fish recognition and identification, using sparse representation
- (2013) Yi-Hao Hsiao et al. Ecological Informatics
- Selective Search for Object Recognition
- (2013) J. R. R. Uijlings et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- A rule-based event detection system for real-life underwater domain
- (2013) Concetto Spampinato et al. MACHINE VISION AND APPLICATIONS
- Identification of Cichlid Fishes from Lake Malawi Using Computer Vision
- (2013) Deokjin Joo et al. PLoS One
- Using Bounding-Surrounding Boxes Method for Fish Tracking in Real World Underwater Observation
- (2013) Yi-Haur Shiau et al. International Journal of Advanced Robotic Systems
- Automate fry counting using computer vision and multi-class least squares support vector machine
- (2012) Liangzhong Fan et al. AQUACULTURE
- Fish species classification by color, texture and multi-class support vector machine using computer vision
- (2012) Jing Hu et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- The use of computer vision technologies in aquaculture – A review
- (2012) Boaz Zion COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Measuring the Objectness of Image Windows
- (2012) B. Alexe et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Understanding fish behavior during typhoon events in real-life underwater environments
- (2012) Concetto Spampinato et al. MULTIMEDIA TOOLS AND APPLICATIONS
- A computer vision system to analyse the swimming behaviour of farmed fish in commercial aquaculture facilities: A case study using cage-held Atlantic salmon
- (2011) T.H. Pinkiewicz et al. AQUACULTURAL ENGINEERING
- A computer-vision system and methodology for the analysis of fish behavior
- (2011) Vassilis M. Papadakis et al. AQUACULTURAL ENGINEERING
- Application of a novel open-source program for measuring the effects of toxicants on the swimming behavior of large groups of unmarked fish
- (2011) Michael J. Barry CHEMOSPHERE
- Three-dimensional reconstruction of the fast-start swimming kinematics of densely schooling fish
- (2011) S. Butail et al. Journal of the Royal Society Interface
- Measurement of sole activity by digital image analysis
- (2009) S. Duarte et al. AQUACULTURAL ENGINEERING
- A dual camera system for counting and sizing Northern Bluefin Tuna (Thunnus thynnus; Linnaeus, 1758) stock, during transfer to aquaculture cages, with a semi automatic Artificial Neural Network tool
- (2009) Corrado Costa et al. AQUACULTURE
- Automated acoustic method for counting and sizing farmed fish during transfer using DIDSON
- (2009) Jun Han et al. FISHERIES SCIENCE
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