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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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 |
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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 |
_version_ |
1772821275114209280 |