Computer-aided photo-identification system with an application to polar bears based on whisker spot patterns

Ecologists often rely on unique natural markings to identify individual free-ranging animals without disturbing them. We developed a computer-aided photo-identification system for identifying polar bears ( Ursus maritimus ) based on whisker spot pattern recognition. We automated our system so that t...

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Bibliographic Details
Published in:Journal of Mammalogy
Main Authors: Anderson, Carlos J. R., Da Vitoria Lobo, Niels, Roth, James D., Waterman, Jane M.
Format: Text
Language:English
Published: Oxford University Press 2010
Subjects:
Online Access:http://jmammal.oxfordjournals.org/cgi/content/short/91/6/1350
https://doi.org/10.1644/09-MAMM-A-425.1
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spelling fthighwire:oai:open-archive.highwire.org:jmammal:91/6/1350 2023-05-15T18:42:25+02:00 Computer-aided photo-identification system with an application to polar bears based on whisker spot patterns Anderson, Carlos J. R. Da Vitoria Lobo, Niels Roth, James D. Waterman, Jane M. 2010-12-16 00:00:00.0 text/html http://jmammal.oxfordjournals.org/cgi/content/short/91/6/1350 https://doi.org/10.1644/09-MAMM-A-425.1 en eng Oxford University Press http://jmammal.oxfordjournals.org/cgi/content/short/91/6/1350 http://dx.doi.org/10.1644/09-MAMM-A-425.1 Copyright (C) 2010, Oxford University Press Feature Articles TEXT 2010 fthighwire https://doi.org/10.1644/09-MAMM-A-425.1 2015-02-28T17:52:03Z Ecologists often rely on unique natural markings to identify individual free-ranging animals without disturbing them. We developed a computer-aided photo-identification system for identifying polar bears ( Ursus maritimus ) based on whisker spot pattern recognition. We automated our system so that the selection of 3 reference points on the input image is the only manual step required during image preprocessing. Our pattern-matching algorithm is unique in that the variability within spot patterns is considered fully rather than representing them as points and applying a point-pattern matching algorithm. We also measured the reliability of our method as probabilities of true positives and false positives using photographs of various qualities taken at different angles. When we excluded photographs of poor quality and angle the probability of true positives was >80% at a false positive probability of 10%. A new photograph could be preprocessed in <1 min and tested against a reference library of 100 individuals in <10 min. Our computer-aided identification system could be extended for use in other species with variable spot patterns, which could be useful in efforts to estimate various population dynamics parameters essential for the study and conservation of wildlife, particularly threatened and endangered species. Text Ursus maritimus HighWire Press (Stanford University) Journal of Mammalogy 91 6 1350 1359
institution Open Polar
collection HighWire Press (Stanford University)
op_collection_id fthighwire
language English
topic Feature Articles
spellingShingle Feature Articles
Anderson, Carlos J. R.
Da Vitoria Lobo, Niels
Roth, James D.
Waterman, Jane M.
Computer-aided photo-identification system with an application to polar bears based on whisker spot patterns
topic_facet Feature Articles
description Ecologists often rely on unique natural markings to identify individual free-ranging animals without disturbing them. We developed a computer-aided photo-identification system for identifying polar bears ( Ursus maritimus ) based on whisker spot pattern recognition. We automated our system so that the selection of 3 reference points on the input image is the only manual step required during image preprocessing. Our pattern-matching algorithm is unique in that the variability within spot patterns is considered fully rather than representing them as points and applying a point-pattern matching algorithm. We also measured the reliability of our method as probabilities of true positives and false positives using photographs of various qualities taken at different angles. When we excluded photographs of poor quality and angle the probability of true positives was >80% at a false positive probability of 10%. A new photograph could be preprocessed in <1 min and tested against a reference library of 100 individuals in <10 min. Our computer-aided identification system could be extended for use in other species with variable spot patterns, which could be useful in efforts to estimate various population dynamics parameters essential for the study and conservation of wildlife, particularly threatened and endangered species.
format Text
author Anderson, Carlos J. R.
Da Vitoria Lobo, Niels
Roth, James D.
Waterman, Jane M.
author_facet Anderson, Carlos J. R.
Da Vitoria Lobo, Niels
Roth, James D.
Waterman, Jane M.
author_sort Anderson, Carlos J. R.
title Computer-aided photo-identification system with an application to polar bears based on whisker spot patterns
title_short Computer-aided photo-identification system with an application to polar bears based on whisker spot patterns
title_full Computer-aided photo-identification system with an application to polar bears based on whisker spot patterns
title_fullStr Computer-aided photo-identification system with an application to polar bears based on whisker spot patterns
title_full_unstemmed Computer-aided photo-identification system with an application to polar bears based on whisker spot patterns
title_sort computer-aided photo-identification system with an application to polar bears based on whisker spot patterns
publisher Oxford University Press
publishDate 2010
url http://jmammal.oxfordjournals.org/cgi/content/short/91/6/1350
https://doi.org/10.1644/09-MAMM-A-425.1
genre Ursus maritimus
genre_facet Ursus maritimus
op_relation http://jmammal.oxfordjournals.org/cgi/content/short/91/6/1350
http://dx.doi.org/10.1644/09-MAMM-A-425.1
op_rights Copyright (C) 2010, Oxford University Press
op_doi https://doi.org/10.1644/09-MAMM-A-425.1
container_title Journal of Mammalogy
container_volume 91
container_issue 6
container_start_page 1350
op_container_end_page 1359
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