Computer-aided photo-identification of a rare stingray, Megatrygon microps

Jennifer A. Keeping; Katie E. Reeve-Arnold; Neil M. Burns; Nilza Catarina; David M. Bailey; Deborah C. McNeill

doi:10.1111/jfb.14242

Computer-aided photo-identification of a rare stingray, Megatrygon microps

Jennifer A. Keeping^*, Katie E. Reeve-Arnold, Neil M. Burns, Nilza Catarina, David M. Bailey, Deborah C. McNeill

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

A protocol for photo-identification of individual Megatrygon microps has been defined. One hundred and four identification photographs were taken between 2005 and 2019. Spot patterns on the dorsal surface were used to identify individuals. Unique scarring on eight M. microps re-observed provided an independent confirmation of pattern stability of up to 761 days. Previous studies lacked statistical testing used to validate this photo-identification approach. I³S photo-matching software was used to successfully match images, identifying 69 individuals. A photo-matching software facilitates an open-source platform for identifying individual M. microps, allowing for better population assessments.

Original language	English
Pages (from-to)	815-819
Number of pages	5
Journal	Journal of Fish Biology
Volume	96
Issue number	3
Early online date	19 Dec 2019
DOIs	https://doi.org/10.1111/jfb.14242
Publication status	Print publication - Mar 2020
Externally published	Yes

Bibliographical note

Keywords

I S
Megatrygon microps
photo-identification
stingray
Computers
Photography
Skates, Fish/anatomy & histology
Animals
Animal Identification Systems/instrumentation
Software

Access to Document

10.1111/jfb.14242

Cite this

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title = "Computer-aided photo-identification of a rare stingray, Megatrygon microps",

abstract = "A protocol for photo-identification of individual Megatrygon microps has been defined. One hundred and four identification photographs were taken between 2005 and 2019. Spot patterns on the dorsal surface were used to identify individuals. Unique scarring on eight M. microps re-observed provided an independent confirmation of pattern stability of up to 761 days. Previous studies lacked statistical testing used to validate this photo-identification approach. I3S photo-matching software was used to successfully match images, identifying 69 individuals. A photo-matching software facilitates an open-source platform for identifying individual M. microps, allowing for better population assessments.",

keywords = "I S, Megatrygon microps, photo-identification, stingray, Computers, Photography, Skates, Fish/anatomy & histology, Animals, Animal Identification Systems/instrumentation, Software",

author = "Keeping, {Jennifer A.} and Reeve-Arnold, {Katie E.} and Burns, {Neil M.} and Nilza Catarina and Bailey, {David M.} and McNeill, {Deborah C.}",

note = "{\textcopyright} 2019 The Fisheries Society of the British Isles.",

year = "2020",

month = mar,

doi = "10.1111/jfb.14242",

language = "English",

volume = "96",

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AU - Burns, Neil M.

AU - Catarina, Nilza

AU - Bailey, David M.

AU - McNeill, Deborah C.

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KW - I S

KW - Megatrygon microps

KW - photo-identification

KW - stingray

KW - Computers

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KW - Skates, Fish/anatomy & histology

KW - Animals

KW - Animal Identification Systems/instrumentation

KW - Software

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Computer-aided photo-identification of a rare stingray, Megatrygon microps

Abstract

Bibliographical note

Keywords

Access to Document

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