東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Visual Detection and Tracking Method...

University of Rhode Island., Ocean Engineering.

Linked to FindBook

Google Book

Amazon

博客來

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

Record Type:	Electronic resources : Monograph/item
Title/Author:	Visual Detection and Tracking Methods for E.Superba (Antarctic Krill)./
Author:	Yopak, Regina R.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
Description:	55 p.
Notes:	Source: Masters Abstracts International, Volume: 56-04.
Contained By:	Masters Abstracts International56-04(E).
Subject:	Ocean engineering. -
Online resource:	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).
LDR:02614nmm a2200325 4500 001 2200407
005 20190315110954.5
008 201008s2017 ||||||||||||||||| ||eng d
020 $a 9781369814699
035 $a (MiAaPQ)AAI10270329
035 $a (MiAaPQ)uri:11694
035 $a AAI10270329
040 $a MiAaPQ $c MiAaPQ
100 1 $a Yopak, Regina R. $3 3427152
245 1 0 $a Visual Detection and Tracking Methods for E.Superba (Antarctic Krill).
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2017
300 $a 55 p.
500 $a Source: Masters Abstracts International, Volume: 56-04.
500 $a Adviser: Christopher Roman.
502 $a Thesis (M.S.)--University of Rhode Island, 2017.
506 $a This item is not available from ProQuest Dissertations & Theses.
520 $a 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.
590 $a School code: 0186.
650 4 $a Ocean engineering. $3 660731
650 4 $a Biological oceanography. $3 2122748
650 4 $a Computer science. $3 523869
690 $a 0547
690 $a 0416
690 $a 0984
710 2 $a University of Rhode Island. $b Ocean Engineering. $3 3175737
773 0 $t Masters Abstracts International $g 56-04(E).
790 $a 0186
791 $a M.S.
792 $a 2017
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10270329