Literature DB >> 31807930

PelagiCam: a novel underwater imaging system with computer vision for semi-automated monitoring of mobile marine fauna at offshore structures.

Emma V Sheehan1, Danielle Bridger1, Sarah J Nancollas1,2, Simon J Pittman1.   

Abstract

Engineered structures in the open ocean are becoming more frequent with the expansion of the marine renewable energy industry and offshore marine aquaculture. Floating engineered structures function as artificial patch reefs providing novel and relatively stable habitat structure not otherwise available in the pelagic water column. The enhanced physical structure can increase local biodiversity and benefit fisheries yet can also facilitate the spread of invasive species. Clear evidence of any ecological consequences will inform the design and placement of structures to either minimise negative impacts or enhance ecosystem restoration. The development of rapid, cost-effective and reliable remote underwater monitoring methods is crucial to supporting evidence-based decision-making by planning authorities and developers when assessing environmental risks and benefits of offshore structures. A novel, un-baited midwater video system, PelagiCam, with motion-detection software (MotionMeerkat) for semi-automated monitoring of mobile marine fauna, was developed and tested on the UK's largest offshore rope-cultured mussel farm in Lyme Bay, southwest England. PelagiCam recorded Atlantic horse mackerel (Trachurus trachurus), garfish (Belone belone) and two species of jellyfish (Chrysaora hysoscella and Rhizostoma pulmo) in open water close to the floating farm structure. The software successfully distinguished video frames where fishes were present versus absent. The PelagiCam system provides a cost-effective remote monitoring tool to streamline biological data acquisition in impact assessments of offshore floating structures. With the rise of sophisticated artificial intelligence for object recognition, the integration of computer vision techniques should receive more attention in marine ecology and has great potential to revolutionise marine biological monitoring.

Entities:  

Keywords:  Monitoring; aquaculture; ecosystem function; motion detection; mussel farm; pelagic; video analysis

Mesh:

Year:  2019        PMID: 31807930     DOI: 10.1007/s10661-019-7980-4

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  13 in total

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Journal:  Philos Trans A Math Phys Eng Sci       Date:  2012-01-28       Impact factor: 4.226

2.  Deep neural network concepts for background subtraction:A systematic review and comparative evaluation.

Authors:  Thierry Bouwmans; Sajid Javed; Maryam Sultana; Soon Ki Jung
Journal:  Neural Netw       Date:  2019-05-15

Review 3.  A computer vision for animal ecology.

Authors:  Ben G Weinstein
Journal:  J Anim Ecol       Date:  2017-11-29       Impact factor: 5.091

4.  Quantifying the interplay between environmental and social effects on aggregated-fish dynamics.

Authors:  Manuela Capello; Marc Soria; Pascal Cotel; Jean-Louis Deneubourg; Laurent Dagorn
Journal:  PLoS One       Date:  2011-12-12       Impact factor: 3.240

5.  An Analysis of Artificial Reef Fish Community Structure along the Northwestern Gulf of Mexico Shelf: Potential Impacts of "Rigs-to-Reefs" Programs.

Authors:  Matthew J Ajemian; Jennifer J Wetz; Brooke Shipley-Lozano; J Dale Shively; Gregory W Stunz
Journal:  PLoS One       Date:  2015-05-08       Impact factor: 3.240

6.  Mapping reef fish and the seascape: using acoustics and spatial modeling to guide coastal management.

Authors:  Bryan Costa; J Christopher Taylor; Laura Kracker; Tim Battista; Simon Pittman
Journal:  PLoS One       Date:  2014-01-15       Impact factor: 3.240

Review 7.  Offshore aquaculture: Spatial planning principles for sustainable development.

Authors:  Rebecca R Gentry; Sarah E Lester; Carrie V Kappel; Crow White; Tom W Bell; Joel Stevens; Steven D Gaines
Journal:  Ecol Evol       Date:  2016-12-24       Impact factor: 2.912

8.  Reef fish communities are spooked by scuba surveys and may take hours to recover.

Authors:  Michael J Emslie; Alistair J Cheal; M Aaron MacNeil; Ian R Miller; Hugh P A Sweatman
Journal:  PeerJ       Date:  2018-05-24       Impact factor: 2.984

Review 9.  Artificial reef effect in relation to offshore renewable energy conversion: state of the art.

Authors:  Olivia Langhamer
Journal:  ScientificWorldJournal       Date:  2012-12-23

10.  Marine communities on oil platforms in Gabon, West Africa: high biodiversity oases in a low biodiversity environment.

Authors:  Alan M Friedlander; Enric Ballesteros; Michael Fay; Enric Sala
Journal:  PLoS One       Date:  2014-08-01       Impact factor: 3.240

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  2 in total

Review 1.  The Hierarchic Treatment of Marine Ecological Information from Spatial Networks of Benthic Platforms.

Authors:  Jacopo Aguzzi; Damianos Chatzievangelou; Marco Francescangeli; Simone Marini; Federico Bonofiglio; Joaquin Del Rio; Roberto Danovaro
Journal:  Sensors (Basel)       Date:  2020-03-21       Impact factor: 3.576

2.  A low-cost, long-term underwater camera trap network coupled with deep residual learning image analysis.

Authors:  Stephanie M Bilodeau; Austin W H Schwartz; Binfeng Xu; V Paúl Pauca; Miles R Silman
Journal:  PLoS One       Date:  2022-02-02       Impact factor: 3.240

  2 in total

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