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 quantifiable 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...

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Main Author: Yopak, Regina R
Format: Text
Language:English
Published: DigitalCommons@URI 2017
Subjects:
Online Access:https://digitalcommons.uri.edu/dissertations/AAI10270329
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spelling ftunivrhodeislan:oai:digitalcommons.uri.edu:dissertations-3858 2023-05-15T14:03:08+02:00 Visual Detection and Tracking Methods for E.Superba (Antarctic Krill) Yopak, Regina R 2017-01-01T08:00:00Z https://digitalcommons.uri.edu/dissertations/AAI10270329 ENG eng DigitalCommons@URI https://digitalcommons.uri.edu/dissertations/AAI10270329 Dissertations and Master's Theses (Campus Access) Biological oceanography|Ocean engineering|Computer science text 2017 ftunivrhodeislan 2021-06-29T19:21:59Z Antarctic krill are a keystone species of the Southern Ocean. They have been well documented over large spatial scales but generally not quantifiable 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 gray-scale 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 2.0 m3. 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 mid-water 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 English
topic Biological oceanography|Ocean engineering|Computer science
spellingShingle Biological oceanography|Ocean engineering|Computer science
Yopak, Regina R
Visual Detection and Tracking Methods for E.Superba (Antarctic Krill)
topic_facet Biological oceanography|Ocean engineering|Computer science
description Antarctic krill are a keystone species of the Southern Ocean. They have been well documented over large spatial scales but generally not quantifiable 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 gray-scale 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 2.0 m3. 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 mid-water 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
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/dissertations/AAI10270329
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 Dissertations and Master's Theses (Campus Access)
op_relation https://digitalcommons.uri.edu/dissertations/AAI10270329
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