Show simple item record

dc.contributor.authorOsterrieder
dc.contributor.authorSalgado Kent, Chandra
dc.contributor.authorAnderson
dc.contributor.authorParnum, Iain
dc.contributor.authorRobinson
dc.date.accessioned2017-01-30T10:45:01Z
dc.date.available2017-01-30T10:45:01Z
dc.date.created2015-08-16T20:00:35Z
dc.date.issued2015
dc.identifier.citationOsterrieder and Salgado Kent, C. and Anderson and Parnum, I. and Robinson 2015. Whisker spot patterns: a noninvasive method of individual identification of Australian sea lions (Neophoca cinerea). Journal of Mammalogy. 1 (10): pp. 1-10.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/5262
dc.identifier.doi10.1093/jmammal/gyv102
dc.description.abstract

Reliable methods for identification of individual animals are advantageous for ecological studies of population demographics and movement patterns. Photographic identification, based on distinguishable patterns, unique shapes, or scars, is an effective technique already used for many species. We tested whether photographs of whisker spot patterns could be used to discriminate among individual Australian sea lion (Neophoca cinerea). Based on images of 53 sea lions, we simulated 5,000 patterns before calculating the probability of duplication in a study population. A total of 99% (± 1.5 SD) of patterns were considered reliable for a population of 50, 98% (± 1.7 SD) for 100, 92% (± 4.7 SD) for 500, and 88% (± 5.7 SD) for 1,000. We tested a semiautomatic approach by matching 16 known individuals at 3 different angles (70°, 90°, and 110°), 2 distances (1 and 2 m), and 6 separate times over a 1-year period. A point-pattern matching algorithm for pairwise comparisons produced 90% correct matches of photographs taken on the same day at 90°. Images of individuals at 1 and 2 m resulted in 89% correct matches, those photographed at different angles and different times (at 90°) resulted in 48% and 73% correct matches, respectively. Our results show that the Chamfer distance transform can effectively be used for individual identification, but only if there is very little variation in photograph angle. This point-pattern recognition application may also work for other otariid species.

dc.publisherAmerican Society of Mammalogists
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectPinnipeds
dc.subjectPattern recognition
dc.subjectAustralian Sea Lion
dc.subjectIndividual Identification
dc.subjectwhisker spots
dc.titleWhisker spot patterns: a noninvasive method of individual identification of Australian sea lions (Neophoca cinerea)
dc.typeJournal Article
dcterms.source.volume1
dcterms.source.number10
dcterms.source.startPage1
dcterms.source.endPage10
dcterms.source.issn0022-2372
dcterms.source.titleJournal of Mammalogy
curtin.departmentCentre for Marine Science and Technology
curtin.accessStatusOpen access


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

http://creativecommons.org/licenses/by-nc/4.0/
Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc/4.0/