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Applications of Deep Learning in Fish Habitat Monitoring: A Tutorial and Survey
[article]
2022
arXiv
pre-print
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The tutorial also explains a step-by-step procedure on how DL algorithms should be developed for challenging applications such as underwater fish monitoring. ...
Despite its application to a myriad of domains, its use in underwater fish habitat monitoring remains under explored. ...
Frame- work Pytorch DL Model ResNet- 50 CNN Article A realistic fish-habitat dataset to evaluate algorithms for un- derwater visual analysis (Saleh et al., 2020a) ...
arXiv:2206.05394v1
fatcat:eiu7nepqnrdzdo6awvzqkyk7oa
Survey of Fish Behavior Analysis by Computer Vision
2018
Journal of Aquaculture Research & Development
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Many researchers have investigated the use of underwater video to analyze fish behavior and habitats. ...
They also examined problems inherent to video capture observation of reef fishes using a systematic combination of approaches to provide a comprehensive evaluation of the underwater videography method. ...
doi:10.4172/2155-9546.1000534
fatcat:sovnx7r6gzhzja5abn2mdlyz5m
Temperate Fish Detection and Classification: a Deep Learning based Approach
[article]
2020
arXiv
pre-print
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A wide range of applications in marine ecology extensively uses underwater cameras. ...
In this paper, we propose a two-step deep learning approach for the detection and classification of temperate fishes without pre-filtering. ...
visual features of, for example a fish [25] . ...
arXiv:2005.07518v1
fatcat:ru45bhqnr5ckrgdvww2xopmzya
Underwater Fish Tracking for Moving Cameras based on Deformable Multiple Kernels
[article]
2016
arXiv
pre-print
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Fishery surveys that call for the use of single or multiple underwater cameras have been an emerging technology as a non-extractive mean to estimate the abundance of fish stocks. ...
In this paper, a novel tracking algorithm based on the deformable multiple kernels (DMK) is proposed to address these challenges. ...
To visualize the effect of the kernel aggregation weight, we tested the proposed algorithm with different weight values with the underwater video datasets. ...
arXiv:1603.01695v1
fatcat:4256yf3mejailn4sfvjnni2tmy
An Underwater Image Enhancement Benchmark Dataset and Beyond
[article]
2019
arXiv
pre-print
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Using this dataset, we conduct a comprehensive study of the state-of-the-art underwater image enhancement algorithms qualitatively and quantitatively. ...
However, these algorithms are mainly evaluated using either synthetic datasets or few selected real-world images. ...
Thus, it is difficult to synthesize realistic underwater images for CNNs training. ...
arXiv:1901.05495v2
fatcat:2gwcxf37nbfjzgmxxrcqeqcite
Temperate fish detection and classification: a deep learning based approach
2021
Applied intelligence (Boston)
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In this paper, we propose a two-step deep learning approach for the detection and classification of temperate fishes without pre-filtering. ...
This strongly indicates that the solution is viable with a more extensive dataset. ...
The variability is to ensure a realistic dataset as possible to ensure high precision when applied in real-life settings. ...
doi:10.1007/s10489-020-02154-9
fatcat:iz6m7avdpng43o7bv5q6r275he
3D MODELS COMPARISON OF COMPLEX SHELL IN UNDERWATER AND DRY ENVIRONMENTS
2015
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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For this reason, the camera calibration has to be performed in the same survey conditions. ...
Non-contact measurement system has to be used to preserve such organisms: the photogrammetry is a method capable to assure high accuracy without contact. ...
Stereo-vision systems are used to measure and monitor fishes (Harvey et al., 2002) , (Shortis et al. 2013) , and to evaluate marine organisms diversity and abundance in special areas (Cappo et al., ...
doi:10.5194/isprsarchives-xl-5-w5-215-2015
fatcat:bfvzk2xbh5f3rbscqbn7ahftk4
Underwater Direction of Arrival Estimation using Wideband Arrays of Opportunity
2019
OCEANS 2019 - Marseille
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Ivor Nissen for his introduction to the world of underwater acoustic localization research, and for always keeping an eye on my progress. I am grateful to Dr. ...
A huge bunch of thanks goes to all my colleagues at IMDEA Networks for all the coffee break talks, dinner drinks, board games battles, and barbeque parties. ...
To the best of our knowledge, this is the first attempt to assemble a dataset for the direct evaluation of the performance of network protocols. ...
doi:10.1109/oceanse.2019.8867262
fatcat:p7yu5imvs5cdlbhju2vhfgl6ze
EXTRACTION OF BENTHIC COVER INFORMATION FROM VIDEO TOWS AND PHOTOGRAPHS USING OBJECT-BASED IMAGE ANALYSIS
2012
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Through the use of rule sets on area, less than or equal to 700 pixels for fish and between 700 to 10,000 pixels for rubble, as well as standard deviation values to distinguish texture, fish and rubble ...
In this study, accurate bathymetric data obtained using a multi-beam echo sounder (MBES) was attempted to be used as complementary data with the underwater photographs. ...
, Rubblegreen, Fish -blue Classification maps of the different algorithms of a sample area ...
doi:10.5194/isprsarchives-xxxix-b8-539-2012
fatcat:k7yfrpzdlvhptaxcrtan7souoq
Fish sounds: towards the evaluation of marine acoustic biodiversity through data-driven audio source separation
[article]
2022
arXiv
pre-print
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2022 pre-print arXiv:2201.05013v1 fatcat:kue2ajp3uzffdgdsvgtqstyeui
In this work, we show that the same techniques can be successfully used to automatically extract fish vocalizations in PAM recordings, opening up the possibility for biodiversity monitoring at a large ...
One of the most popular and effective methods for monitoring marine biodiversity is passive acoustics monitoring (PAM), which employs hydrophones to capture underwater sound. ...
In order to create a dataset that can be used to synthesize realistic audio data, we preprocessed for noise removal, and normalized for a peak amplitude of −1 dB. ...
arXiv:2201.05013v2
fatcat:ix5zi5xmjnbc3ops4fteme4e34
Background Subtraction in Real Applications: Challenges, Current Models and Future Directions
[article]
2019
arXiv
pre-print
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In addition, the videos evaluated in large-scale datasets are not exhaustive in the way that they only covered a part of the complete spectrum of the challenges met in real applications. ...
Most of them concern the application of mathematical and machine learning models to be more robust to the challenges met in videos. ...
Datasets for Evaluation In this part, we quickly survey available datasets to evaluate algorithms in similar conditions than the real ones. ...
arXiv:1901.03577v1
fatcat:sstv5kua45aixaslrajklv2rae
A Comprehensive Survey of Video Datasets for Background Subtraction
2019
IEEE Access
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Finding the appropriate dataset is generally a cumbersome task for an exhaustive evaluation of algorithms. ...
In recent years, a number of video datasets intended for background subtraction have been created to address the problem of large realistic datasets with accurate ground truth. ...
This dataset was created to evaluate moving object detection algorithms against the difficulties of an underwater environment. Fishes are considered as a foreground and all other as background. ...
doi:10.1109/access.2019.2914961
fatcat:thr65j4uivehpgxtkwbsqi3yc4
Seafloor habitat definition for spatial management in fisheries: A case study on the continental shelf of southeast Australia
1999
Oceanologica Acta
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The importance of habitat to fisheries production on Australia's southeast continental shelf is part of a five-year study of ecosystem functioning and its implications for a sustainable fishery. ...
Macrohabitats were sampled with an underwater video camera, sediment sampler, benthic sled, demersal trawl, gillnets and fish traps to relate the acoustic classifications to biological habitats. ...
The fishing masters, captains, and crew of the FRV Southern Surveyor deserve special mention for working in often harsh conditions to deploy and retrieve sampling gear. ...
doi:10.1016/s0399-1784(00)88961-6
fatcat:qc3hzrpmtja5zgmenyr2t6buxy
3D Classification of Cold-Water Coral Reefs: A Comparison of Classification Techniques for 3D Reconstructions of Cold-Water Coral Reefs and Seabed
2021
Frontiers in Marine Science
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Results suggest that advancing from commonly employed 2D image analysis techniques to 3D photogrammetric classification methods is advantageous and provides a more realistic representation of CWC habitat ...
As three-dimensional structural habitats, there is a need for robust and accessible technologies to enable more accurate reef assessments. ...
Especial thanks goes to Marine Institute for funding the ship time on RV Celtic Explorer under the 2018 and 2019 Ship Time Program of the National Development scheme and the shipboard party of RV Celtic ...
doi:10.3389/fmars.2021.640713
fatcat:gft3bueu25d4da575cypwxhqme
D4.3-Environmental monitoring measures and data elaboration report
2022
Zenodo
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Despite the fact that is fact underwater images are known to be degraded due to a number of factors such as turbidity, floating particles, and light attenuation in the medium, specific algorithms for the ...
A number of software for image processing are available and include already pre-set algorithms to perform standard actions. ...
doi:10.5281/zenodo.6303695
fatcat:gbh7qb3a7jdbplrfp5g2wlabju
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