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Visual Detection and Tracking Method...

University of Rhode Island., Ocean Engineering.

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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Visual Detection and Tracking Methods for E.Superba (Antarctic Krill)./
作者:	Yopak, Regina R.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:	55 p.
附註:	Source: Masters Abstracts International, Volume: 56-04.
Contained By:	Masters Abstracts International56-04(E).
標題:	Ocean engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10270329
ISBN:	9781369814699

Visual Detection and Tracking Methods for E.Superba (Antarctic Krill).
Yopak, Regina R.

Visual Detection and Tracking Methods for E.Superba (Antarctic Krill). - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 55 p.

Source: Masters Abstracts International, Volume: 56-04.

Thesis (M.S.)--University of Rhode Island, 2017.

This item is not available from ProQuest Dissertations & Theses.

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.

ISBN: 9781369814699Subjects--Topical Terms:

660731
Ocean engineering.

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