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 the...
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ftunicentralflor:oai:stars.library.ucf.edu:scopus2010-1033 2023-05-15T18:42:24+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. 2010-12-16T08:00:00Z https://stars.library.ucf.edu/scopus2010/34 unknown STARS https://stars.library.ucf.edu/scopus2010/34 Scopus Export 2010-2014 capturerecapture Chamfer computer vision image pattern matching noninvasive identification reliability Ursus maritimus text 2010 ftunicentralflor 2022-08-08T17:32:32Z 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. © 2010 American Society of Mammalogists. Text Ursus maritimus University of Central Florida (UCF): STARS (Showcase of Text, Archives, Research & Scholarship) |
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Open Polar |
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University of Central Florida (UCF): STARS (Showcase of Text, Archives, Research & Scholarship) |
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language |
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topic |
capturerecapture Chamfer computer vision image pattern matching noninvasive identification reliability Ursus maritimus |
spellingShingle |
capturerecapture Chamfer computer vision image pattern matching noninvasive identification reliability Ursus maritimus 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 |
capturerecapture Chamfer computer vision image pattern matching noninvasive identification reliability Ursus maritimus |
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. © 2010 American Society of Mammalogists. |
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 |
STARS |
publishDate |
2010 |
url |
https://stars.library.ucf.edu/scopus2010/34 |
genre |
Ursus maritimus |
genre_facet |
Ursus maritimus |
op_source |
Scopus Export 2010-2014 |
op_relation |
https://stars.library.ucf.edu/scopus2010/34 |
_version_ |
1766232066144337920 |