Visual Detection and Tracking Methods for E. superba (Antarctic Krill)

Antarctic krill are a keystone species of the Southern Ocean. They have been well documented over large spatial scales but generally not quantfiably at the scale of single individuals in the open water column. It is important to study how individuals behave in their natural environment in order to f...

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Main Author: Yopak, Regina R.
Format: Text
Language:unknown
Published: DigitalCommons@URI 2017
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Online Access:https://digitalcommons.uri.edu/theses/1045
https://doi.org/10.23860/thesis-yopak-regina-2017
https://digitalcommons.uri.edu/context/theses/article/2052/viewcontent/Yopak_uri_0186M_11694.pdf
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spelling ftunivrhodeislan:oai:digitalcommons.uri.edu:theses-2052 2023-07-30T03:58:29+02:00 Visual Detection and Tracking Methods for E. superba (Antarctic Krill) Yopak, Regina R. 2017-01-01T08:00:00Z application/pdf https://digitalcommons.uri.edu/theses/1045 https://doi.org/10.23860/thesis-yopak-regina-2017 https://digitalcommons.uri.edu/context/theses/article/2052/viewcontent/Yopak_uri_0186M_11694.pdf unknown DigitalCommons@URI https://digitalcommons.uri.edu/theses/1045 doi:10.23860/thesis-yopak-regina-2017 https://digitalcommons.uri.edu/context/theses/article/2052/viewcontent/Yopak_uri_0186M_11694.pdf Open Access Master's Theses text 2017 ftunivrhodeislan https://doi.org/10.23860/thesis-yopak-regina-2017 2023-07-17T18:55:40Z Antarctic krill are a keystone species of the Southern Ocean. They have been well documented over large spatial scales but generally not quantfiably at the scale of single individuals in the open water column. It is important to study how individuals behave in their natural environment in order to further understand how they interact within dense krill aggregations. Using a pair of calibrated grayscale stereo cameras mounted on a towed instrument sled, krill were imaged in situ at 10Hz in the bays along the western Antarctic Peninsula during austral winter 2013. Krill were identified and tracked through the images using a newly developed identification and tracking method that collates krill motion properties such as distance traveled, velocity and track duration using image processing techniques. Stereo geometry was used to define the krill motion data in the camera coordinate system and define the overall imaging volume to be approximately 2:0m3. The tracking method performed successfully for 60 - 80% of tracks in a sample set of images. Difficulties in tracking krill successfully included excessive sled motion (heave), krill swarming (or schooling) behaviors and rapid changes in krill motion not accounted for by the tracking algorithm. An analysis of the krill velocities found that krill generally swam at less than 1m/s and increased to 2m/s while aggregating. This new imaging system successfully tracked and identified krill in the midwater column and can be used to generate large motion data sets to better inform Antarctic krill behavioral and circulation studies. Text Antarc* Antarctic Antarctic Krill Antarctic Peninsula Southern Ocean University of Rhode Island: DigitalCommons@URI Antarctic Antarctic Peninsula Austral Southern Ocean
institution Open Polar
collection University of Rhode Island: DigitalCommons@URI
op_collection_id ftunivrhodeislan
language unknown
description Antarctic krill are a keystone species of the Southern Ocean. They have been well documented over large spatial scales but generally not quantfiably at the scale of single individuals in the open water column. It is important to study how individuals behave in their natural environment in order to further understand how they interact within dense krill aggregations. Using a pair of calibrated grayscale stereo cameras mounted on a towed instrument sled, krill were imaged in situ at 10Hz in the bays along the western Antarctic Peninsula during austral winter 2013. Krill were identified and tracked through the images using a newly developed identification and tracking method that collates krill motion properties such as distance traveled, velocity and track duration using image processing techniques. Stereo geometry was used to define the krill motion data in the camera coordinate system and define the overall imaging volume to be approximately 2:0m3. The tracking method performed successfully for 60 - 80% of tracks in a sample set of images. Difficulties in tracking krill successfully included excessive sled motion (heave), krill swarming (or schooling) behaviors and rapid changes in krill motion not accounted for by the tracking algorithm. An analysis of the krill velocities found that krill generally swam at less than 1m/s and increased to 2m/s while aggregating. This new imaging system successfully tracked and identified krill in the midwater column and can be used to generate large motion data sets to better inform Antarctic krill behavioral and circulation studies.
format Text
author Yopak, Regina R.
spellingShingle Yopak, Regina R.
Visual Detection and Tracking Methods for E. superba (Antarctic Krill)
author_facet Yopak, Regina R.
author_sort Yopak, Regina R.
title Visual Detection and Tracking Methods for E. superba (Antarctic Krill)
title_short Visual Detection and Tracking Methods for E. superba (Antarctic Krill)
title_full Visual Detection and Tracking Methods for E. superba (Antarctic Krill)
title_fullStr Visual Detection and Tracking Methods for E. superba (Antarctic Krill)
title_full_unstemmed Visual Detection and Tracking Methods for E. superba (Antarctic Krill)
title_sort visual detection and tracking methods for e. superba (antarctic krill)
publisher DigitalCommons@URI
publishDate 2017
url https://digitalcommons.uri.edu/theses/1045
https://doi.org/10.23860/thesis-yopak-regina-2017
https://digitalcommons.uri.edu/context/theses/article/2052/viewcontent/Yopak_uri_0186M_11694.pdf
geographic Antarctic
Antarctic Peninsula
Austral
Southern Ocean
geographic_facet Antarctic
Antarctic Peninsula
Austral
Southern Ocean
genre Antarc*
Antarctic
Antarctic Krill
Antarctic Peninsula
Southern Ocean
genre_facet Antarc*
Antarctic
Antarctic Krill
Antarctic Peninsula
Southern Ocean
op_source Open Access Master's Theses
op_relation https://digitalcommons.uri.edu/theses/1045
doi:10.23860/thesis-yopak-regina-2017
https://digitalcommons.uri.edu/context/theses/article/2052/viewcontent/Yopak_uri_0186M_11694.pdf
op_doi https://doi.org/10.23860/thesis-yopak-regina-2017
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