A Computer Vision System to Analyse the Swimming Behaviour of Farmed Fish in Commercial Aquaculture Facilities: a Case Study using Cage-held Atlantic Salmon
Knowledge of fish behaviour plays an important role in aquaculture farm management. Video systems are the most common and cost-effective way of observing behaviours in commercial aquaculture operations. However long term observation is not feasible due to a limited ability to analyse footage manuall...
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2011
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Online Access: | https://eprints.utas.edu.au/11829/ https://eprints.utas.edu.au/11829/1/AquaEng_Pinkiewicz_ComVisSystem.pdf http://www.sciencedirect.com/science/article/pii/S014486091100029X https://doi.org/10.1016/j.aquaeng.2011.05.002 |
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ftunivtasmania:oai:eprints.utas.edu.au:11829 2023-05-15T15:32:18+02:00 A Computer Vision System to Analyse the Swimming Behaviour of Farmed Fish in Commercial Aquaculture Facilities: a Case Study using Cage-held Atlantic Salmon Pinkiewicz, T Purser, GJ Williams, RN 2011-07 application/pdf https://eprints.utas.edu.au/11829/ https://eprints.utas.edu.au/11829/1/AquaEng_Pinkiewicz_ComVisSystem.pdf http://www.sciencedirect.com/science/article/pii/S014486091100029X https://doi.org/10.1016/j.aquaeng.2011.05.002 en eng https://eprints.utas.edu.au/11829/1/AquaEng_Pinkiewicz_ComVisSystem.pdf Pinkiewicz, T, Purser, GJ and Williams, RN 2011 , 'A Computer Vision System to Analyse the Swimming Behaviour of Farmed Fish in Commercial Aquaculture Facilities: a Case Study using Cage-held Atlantic Salmon' , Aquacultural Engineering, vol. 45, no. 1 , pp. 20-27 , doi:10.1016/j.aquaeng.2011.05.002 <http://dx.doi.org/10.1016/j.aquaeng.2011.05.002>. cc_utas video analysis fish tracking kalman filter computer vision fish behaviour salmon aquaculture Article PeerReviewed 2011 ftunivtasmania https://doi.org/10.1016/j.aquaeng.2011.05.002 2020-05-30T07:25:41Z Knowledge of fish behaviour plays an important role in aquaculture farm management. Video systems are the most common and cost-effective way of observing behaviours in commercial aquaculture operations. However long term observation is not feasible due to a limited ability to analyse footage manually. This paper describes preliminary findings obtained via computer vision software that was developed to automatically analyse fish movement and behaviours in aquaculture sea cages. Results show that the system is capable of detecting fish shapes in video recordings and from these shapes quantifying changes in swimming speed and direction continuously throughout the day. Also variations between days were detected and these may have been associated with the daily shift in the tidal cycle. The system has the potential to act as an alarm to farm operators, informing them about unusual fish behaviours on a continuous, real-time basis. It also has potential to assist in the evaluation of fish welfare. Article in Journal/Newspaper Atlantic salmon University of Tasmania: UTas ePrints Aquacultural Engineering 45 1 20 27 |
institution |
Open Polar |
collection |
University of Tasmania: UTas ePrints |
op_collection_id |
ftunivtasmania |
language |
English |
topic |
video analysis fish tracking kalman filter computer vision fish behaviour salmon aquaculture |
spellingShingle |
video analysis fish tracking kalman filter computer vision fish behaviour salmon aquaculture Pinkiewicz, T Purser, GJ Williams, RN A Computer Vision System to Analyse the Swimming Behaviour of Farmed Fish in Commercial Aquaculture Facilities: a Case Study using Cage-held Atlantic Salmon |
topic_facet |
video analysis fish tracking kalman filter computer vision fish behaviour salmon aquaculture |
description |
Knowledge of fish behaviour plays an important role in aquaculture farm management. Video systems are the most common and cost-effective way of observing behaviours in commercial aquaculture operations. However long term observation is not feasible due to a limited ability to analyse footage manually. This paper describes preliminary findings obtained via computer vision software that was developed to automatically analyse fish movement and behaviours in aquaculture sea cages. Results show that the system is capable of detecting fish shapes in video recordings and from these shapes quantifying changes in swimming speed and direction continuously throughout the day. Also variations between days were detected and these may have been associated with the daily shift in the tidal cycle. The system has the potential to act as an alarm to farm operators, informing them about unusual fish behaviours on a continuous, real-time basis. It also has potential to assist in the evaluation of fish welfare. |
format |
Article in Journal/Newspaper |
author |
Pinkiewicz, T Purser, GJ Williams, RN |
author_facet |
Pinkiewicz, T Purser, GJ Williams, RN |
author_sort |
Pinkiewicz, T |
title |
A Computer Vision System to Analyse the Swimming Behaviour of Farmed Fish in Commercial Aquaculture Facilities: a Case Study using Cage-held Atlantic Salmon |
title_short |
A Computer Vision System to Analyse the Swimming Behaviour of Farmed Fish in Commercial Aquaculture Facilities: a Case Study using Cage-held Atlantic Salmon |
title_full |
A Computer Vision System to Analyse the Swimming Behaviour of Farmed Fish in Commercial Aquaculture Facilities: a Case Study using Cage-held Atlantic Salmon |
title_fullStr |
A Computer Vision System to Analyse the Swimming Behaviour of Farmed Fish in Commercial Aquaculture Facilities: a Case Study using Cage-held Atlantic Salmon |
title_full_unstemmed |
A Computer Vision System to Analyse the Swimming Behaviour of Farmed Fish in Commercial Aquaculture Facilities: a Case Study using Cage-held Atlantic Salmon |
title_sort |
computer vision system to analyse the swimming behaviour of farmed fish in commercial aquaculture facilities: a case study using cage-held atlantic salmon |
publishDate |
2011 |
url |
https://eprints.utas.edu.au/11829/ https://eprints.utas.edu.au/11829/1/AquaEng_Pinkiewicz_ComVisSystem.pdf http://www.sciencedirect.com/science/article/pii/S014486091100029X https://doi.org/10.1016/j.aquaeng.2011.05.002 |
genre |
Atlantic salmon |
genre_facet |
Atlantic salmon |
op_relation |
https://eprints.utas.edu.au/11829/1/AquaEng_Pinkiewicz_ComVisSystem.pdf Pinkiewicz, T, Purser, GJ and Williams, RN 2011 , 'A Computer Vision System to Analyse the Swimming Behaviour of Farmed Fish in Commercial Aquaculture Facilities: a Case Study using Cage-held Atlantic Salmon' , Aquacultural Engineering, vol. 45, no. 1 , pp. 20-27 , doi:10.1016/j.aquaeng.2011.05.002 <http://dx.doi.org/10.1016/j.aquaeng.2011.05.002>. |
op_rights |
cc_utas |
op_doi |
https://doi.org/10.1016/j.aquaeng.2011.05.002 |
container_title |
Aquacultural Engineering |
container_volume |
45 |
container_issue |
1 |
container_start_page |
20 |
op_container_end_page |
27 |
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