Fluke Matcher: a computer-aided matching system for humpback whale (Megaptera novaeangliae) flukes

Humpback whales (Megaptera novaeangliae) are characterized by variable natural pigmentation patterns and scarring marks on their tail flukes and other regions of the body. The ability to recognize individual humpback whales from photographs of their tail fluke pigmentation and scarring patterns was...

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Main Authors: Kniest, Eric, Burns, Daniel, Harrison, Peter
Other Authors: The University of Newcastle. Faculty of Engineering & Built Environment, School of Engineering
Format: Article in Journal/Newspaper
Language:English
Published: Wiley-Blackwell Publishing 2010
Subjects:
Online Access:http://hdl.handle.net/1959.13/932399
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record_format openpolar
spelling ftunivnewcastnsw:uon:11335 2023-05-15T16:35:52+02:00 Fluke Matcher: a computer-aided matching system for humpback whale (Megaptera novaeangliae) flukes Kniest, Eric Burns, Daniel Harrison, Peter The University of Newcastle. Faculty of Engineering & Built Environment, School of Engineering 2010 http://hdl.handle.net/1959.13/932399 eng eng Wiley-Blackwell Publishing Marine Mammal Science Vol. 26, Issue 3, p. 744-756 10.1111/j.1748-7692.2009.00368.x humpback whales tail flukes computer-based matching systems Fluke Matcher journal article 2010 ftunivnewcastnsw 2018-07-27T00:42:02Z Humpback whales (Megaptera novaeangliae) are characterized by variable natural pigmentation patterns and scarring marks on their tail flukes and other regions of the body. The ability to recognize individual humpback whales from photographs of their tail fluke pigmentation and scarring patterns was first realized by researchers in the 1970s. Since that time, the technique of photo-identification has been widely used on humpback whale populations around the world to determine many aspects of their biology, ecology, and behavior. However, a significant and growing problem exists with comparing photo-identification data sets. Traditional methods of matching photographs of ventral fluke surfaces require manual pairwise comparison of all images within and among data sets, which are often very large. This process requires substantial time, effort, and expertise. Furthermore, as each of the data sets grows, the number of comparisons required increases exponentially. Computer-based matching systems have been developed for other marine species, including some cetaceans. However, attempts to develop a computerized system for humpback whales are still in their infancy and have focused largely on patch distribution of black and white markings on the fluke. To date, none of the systems used for computer-aided fluke identification employ the wide range of features and unique properties of humpback whale flukes that can be utilized to more efficiently identify individuals. Article in Journal/Newspaper Humpback Whale Megaptera novaeangliae NOVA: The University of Newcastle Research Online (Australia)
institution Open Polar
collection NOVA: The University of Newcastle Research Online (Australia)
op_collection_id ftunivnewcastnsw
language English
topic humpback whales
tail flukes
computer-based matching systems
Fluke Matcher
spellingShingle humpback whales
tail flukes
computer-based matching systems
Fluke Matcher
Kniest, Eric
Burns, Daniel
Harrison, Peter
Fluke Matcher: a computer-aided matching system for humpback whale (Megaptera novaeangliae) flukes
topic_facet humpback whales
tail flukes
computer-based matching systems
Fluke Matcher
description Humpback whales (Megaptera novaeangliae) are characterized by variable natural pigmentation patterns and scarring marks on their tail flukes and other regions of the body. The ability to recognize individual humpback whales from photographs of their tail fluke pigmentation and scarring patterns was first realized by researchers in the 1970s. Since that time, the technique of photo-identification has been widely used on humpback whale populations around the world to determine many aspects of their biology, ecology, and behavior. However, a significant and growing problem exists with comparing photo-identification data sets. Traditional methods of matching photographs of ventral fluke surfaces require manual pairwise comparison of all images within and among data sets, which are often very large. This process requires substantial time, effort, and expertise. Furthermore, as each of the data sets grows, the number of comparisons required increases exponentially. Computer-based matching systems have been developed for other marine species, including some cetaceans. However, attempts to develop a computerized system for humpback whales are still in their infancy and have focused largely on patch distribution of black and white markings on the fluke. To date, none of the systems used for computer-aided fluke identification employ the wide range of features and unique properties of humpback whale flukes that can be utilized to more efficiently identify individuals.
author2 The University of Newcastle. Faculty of Engineering & Built Environment, School of Engineering
format Article in Journal/Newspaper
author Kniest, Eric
Burns, Daniel
Harrison, Peter
author_facet Kniest, Eric
Burns, Daniel
Harrison, Peter
author_sort Kniest, Eric
title Fluke Matcher: a computer-aided matching system for humpback whale (Megaptera novaeangliae) flukes
title_short Fluke Matcher: a computer-aided matching system for humpback whale (Megaptera novaeangliae) flukes
title_full Fluke Matcher: a computer-aided matching system for humpback whale (Megaptera novaeangliae) flukes
title_fullStr Fluke Matcher: a computer-aided matching system for humpback whale (Megaptera novaeangliae) flukes
title_full_unstemmed Fluke Matcher: a computer-aided matching system for humpback whale (Megaptera novaeangliae) flukes
title_sort fluke matcher: a computer-aided matching system for humpback whale (megaptera novaeangliae) flukes
publisher Wiley-Blackwell Publishing
publishDate 2010
url http://hdl.handle.net/1959.13/932399
genre Humpback Whale
Megaptera novaeangliae
genre_facet Humpback Whale
Megaptera novaeangliae
op_relation Marine Mammal Science Vol. 26, Issue 3, p. 744-756
10.1111/j.1748-7692.2009.00368.x
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