Underwater video techniques for observing coastal marine biodiversity: a review of sixty years of publications (1952–2012)

D Mallet, D Pelletier - Fisheries Research, 2014 - Elsevier
Underwater video techniques are increasingly used in marine ecology studies.
Technological progress regarding video cameras, sensors (such as sounders), battery life …

A review of deep learning-based stereo vision techniques for phenotype feature and behavioral analysis of fish in aquaculture

Y Zhao, H Qin, L Xu, H Yu, Y Chen - Artificial Intelligence Review, 2025 - Springer
The industrialization, high-density, and greener aquaculture requires a more precise and
intelligent aquaculture management. Phenotypic and behavioral information of fish, which …

Climate-driven regime shift of a temperate marine ecosystem

T Wernberg, S Bennett, RC Babcock, T De Bettignies… - Science, 2016 - science.org
Ecosystem reconfigurations arising from climate-driven changes in species distributions are
expected to have profound ecological, social, and economic implications. Here we reveal a …

Fish detection and species classification in underwater environments using deep learning with temporal information

A Jalal, A Salman, A Mian, M Shortis, F Shafait - Ecological Informatics, 2020 - Elsevier
It is important for marine scientists and conservationists to frequently estimate the relative
abundance of fish species in their habitats and monitor changes in their populations. As …

A field and video annotation guide for baited remote underwater stereo‐video surveys of demersal fish assemblages

T Langlois, J Goetze, T Bond, J Monk… - Methods in Ecology …, 2020 - Wiley Online Library
Baited remote underwater stereo‐video systems (stereo‐BRUVs) are a popular tool to
sample demersal fish assemblages and gather data on their relative abundance and body …

Combined use of eDNA metabarcoding and video surveillance for the assessment of fish biodiversity

M Stat, J John, JD DiBattista, SJ Newman… - Conservation …, 2019 - Wiley Online Library
Monitoring communities of fish is important for the management and sustainability of
fisheries and marine ecosystems. Baited remote underwater video systems (BRUVs) are …

Automatic fish species classification in underwater videos: exploiting pre-trained deep neural network models to compensate for limited labelled data

SA Siddiqui, A Salman, MI Malik… - ICES Journal of …, 2018 - academic.oup.com
There is a need for automatic systems that can reliably detect, track and classify fish and
other marine species in underwater videos without human intervention. Conventional …

Automatic fish detection in underwater videos by a deep neural network-based hybrid motion learning system

A Salman, SA Siddiqui, F Shafait, A Mian… - ICES Journal of …, 2020 - academic.oup.com
It is interesting to develop effective fish sampling techniques using underwater videos and
image processing to automatically estimate and consequently monitor the fish biomass and …

Fish species classification in unconstrained underwater environments based on deep learning

A Salman, A Jalal, F Shafait, A Mian… - Limnology and …, 2016 - Wiley Online Library
Underwater video and digital still cameras are rapidly being adopted by marine scientists
and managers as a tool for non‐destructively quantifying and measuring the relative …

Bait attraction affects the performance of remote underwater video stations in assessment of demersal fish community structure

ES Harvey, M Cappo, JJ Butler, N Hall… - … Ecology Progress Series, 2007 - int-res.com
Discriminating marine fish assemblages at broad scales can be difficult because of
heterogeneity within their habitats, variability in patterns of behaviour and abundance of fish …