INDIVIDUAL IDENTIFICATION OF POLAR BEARS BY WHISKER SPOT PATTERNS

Many types of ecological studies require identification of individual animals. I developed and evaluated an automated identification system for polar bears (Ursus maritimus) based on their whisker spot patterns. First, I measured the reliability of using whisker spot patterns for identification from...

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Other Authors: Anderson, Carlos (Author), Waterman, Jane (Committee Chair), University of Central Florida (Degree Grantor)
Format: Text
Language:English
Published: University of Central Florida
Subjects:
Online Access:http://purl.flvc.org/ucf/fd/CFE0001671
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record_format openpolar
spelling ftucentralflordl:oai:ucf.digital.flvc.org:ucf_47207 2023-11-12T04:18:18+01:00 INDIVIDUAL IDENTIFICATION OF POLAR BEARS BY WHISKER SPOT PATTERNS Anderson, Carlos (Author) Waterman, Jane (Committee Chair) University of Central Florida (Degree Grantor) http://purl.flvc.org/ucf/fd/CFE0001671 English eng University of Central Florida CFE0001671 ucf:47207 http://purl.flvc.org/ucf/fd/CFE0001671 public Ursus maritimus noninvasive natural marking photograph reliability computer-aided information theory Text ftucentralflordl 2023-10-24T16:30:39Z Many types of ecological studies require identification of individual animals. I developed and evaluated an automated identification system for polar bears (Ursus maritimus) based on their whisker spot patterns. First, I measured the reliability of using whisker spot patterns for identification from polar bear photographs taken in western Hudson Bay. This analysis involved estimating the complexity of each whisker spot pattern in terms of its information content. I found that 98% of patterns contained enough information to be reliable, and this result varied little among three different observers. Based on these results, I implemented a computer-aided identification system for polar bears based on whisker spot pattern recognition. I used standard computer vision techniques to pre-process images and the Chamfer distance transform to compute similary scores between images. In addition, I evaluated the system by testing the effects of photographic quality and angle on system accuracy. I found that excellent and moderate quality/angle provided best results, with system accuracy of 90-95%. These findings suggest that individual identification of polar bears in the field based on whisker spot pattern variation is possible. Researchers studying polar bear behavior or estimating population parameters should benefit from this noninvasive technique. 2007-05-01 M.S. Sciences, Department of Biology Masters This record was generated from author submitted information. Text Hudson Bay polar bear Ursus maritimus UCF Digital Collections (University of Central Florida) Hudson Bay Hudson
institution Open Polar
collection UCF Digital Collections (University of Central Florida)
op_collection_id ftucentralflordl
language English
topic Ursus maritimus
noninvasive
natural marking
photograph
reliability
computer-aided
information theory
spellingShingle Ursus maritimus
noninvasive
natural marking
photograph
reliability
computer-aided
information theory
INDIVIDUAL IDENTIFICATION OF POLAR BEARS BY WHISKER SPOT PATTERNS
topic_facet Ursus maritimus
noninvasive
natural marking
photograph
reliability
computer-aided
information theory
description Many types of ecological studies require identification of individual animals. I developed and evaluated an automated identification system for polar bears (Ursus maritimus) based on their whisker spot patterns. First, I measured the reliability of using whisker spot patterns for identification from polar bear photographs taken in western Hudson Bay. This analysis involved estimating the complexity of each whisker spot pattern in terms of its information content. I found that 98% of patterns contained enough information to be reliable, and this result varied little among three different observers. Based on these results, I implemented a computer-aided identification system for polar bears based on whisker spot pattern recognition. I used standard computer vision techniques to pre-process images and the Chamfer distance transform to compute similary scores between images. In addition, I evaluated the system by testing the effects of photographic quality and angle on system accuracy. I found that excellent and moderate quality/angle provided best results, with system accuracy of 90-95%. These findings suggest that individual identification of polar bears in the field based on whisker spot pattern variation is possible. Researchers studying polar bear behavior or estimating population parameters should benefit from this noninvasive technique. 2007-05-01 M.S. Sciences, Department of Biology Masters This record was generated from author submitted information.
author2 Anderson, Carlos (Author)
Waterman, Jane (Committee Chair)
University of Central Florida (Degree Grantor)
format Text
title INDIVIDUAL IDENTIFICATION OF POLAR BEARS BY WHISKER SPOT PATTERNS
title_short INDIVIDUAL IDENTIFICATION OF POLAR BEARS BY WHISKER SPOT PATTERNS
title_full INDIVIDUAL IDENTIFICATION OF POLAR BEARS BY WHISKER SPOT PATTERNS
title_fullStr INDIVIDUAL IDENTIFICATION OF POLAR BEARS BY WHISKER SPOT PATTERNS
title_full_unstemmed INDIVIDUAL IDENTIFICATION OF POLAR BEARS BY WHISKER SPOT PATTERNS
title_sort individual identification of polar bears by whisker spot patterns
publisher University of Central Florida
url http://purl.flvc.org/ucf/fd/CFE0001671
geographic Hudson Bay
Hudson
geographic_facet Hudson Bay
Hudson
genre Hudson Bay
polar bear
Ursus maritimus
genre_facet Hudson Bay
polar bear
Ursus maritimus
op_relation CFE0001671
ucf:47207
http://purl.flvc.org/ucf/fd/CFE0001671
op_rights public
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