Individual identification of armadillos (Mammalia, Cingulata) using a photo-identification software
Abstract The scales of the head shield of armadillos form a distinctive pattern which facilitates a reliable identification of individuals. Comparing images of head shields of different individuals by eye is, however, time-consuming, especially when working with large catalogues of photographed anim...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Gallo, Jorge A. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s) under exclusive licence to Deutsche Gesellschaft für Säugetierkunde 2022 |
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| Übergeordnetes Werk: |
Enthalten in: Mammalian biology - Amsterdam [u.a.] : Elsevier, 1999, 102(2022), 3 vom: Juni, Seite 855-861 |
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| Übergeordnetes Werk: |
volume:102 ; year:2022 ; number:3 ; month:06 ; pages:855-861 |
| Links: |
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| DOI / URN: |
10.1007/s42991-022-00260-4 |
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| Katalog-ID: |
SPR049170805 |
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| 520 | |a Abstract The scales of the head shield of armadillos form a distinctive pattern which facilitates a reliable identification of individuals. Comparing images of head shields of different individuals by eye is, however, time-consuming, especially when working with large catalogues of photographed animals. Computer-assisted matching of photographs calculates similarity scores between images, thus allowing to limit the visual comparisons to those individuals having the highest scores. The aim of our study was to identify individual patterns of scales on the head shield of ten armadillo species, and test a photo-identification software in identifying individuals based on their head shield pattern. We analyzed 354 frontal photographs of the head shield of 10 species of armadillos taken from different sources. Of those pictures, 153 were different photographs of the same animals. At first, all photographs were compared by eye. Then, we used the pattern extraction and matching software Wild-ID to compare images and find possible matches. None of the individuals on the images were misidentified as other individuals (no false acceptance errors), but the software falsely rejected 26 images. While the most common factors affecting the computer-assisted matching process were the reflection of a flash-light (when flash photography was used) and exposure issues, the flash reflection occurs only when photographing museum collections and is unlikely to affect field photographic surveys unless flash is used in specific conditions, such as for nocturnal armadillos. Our results suggest that the software Wild-ID is a useful tool to individually identify armadillos for capture-recapture studies, including long-term studies. | ||
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| 650 | 4 | |a Capture–recapture |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Computer-assisted matching |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Individual identification |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Photo-identification |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Scale pattern |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Abba, Agustín M. |4 aut | |
| 700 | 1 | |a Superina, Mariella |4 aut | |
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10.1007/s42991-022-00260-4 doi (DE-627)SPR049170805 (SPR)s42991-022-00260-4-e DE-627 ger DE-627 rakwb eng Gallo, Jorge A. verfasserin (orcid)0000-0003-0985-7492 aut Individual identification of armadillos (Mammalia, Cingulata) using a photo-identification software 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to Deutsche Gesellschaft für Säugetierkunde 2022 Abstract The scales of the head shield of armadillos form a distinctive pattern which facilitates a reliable identification of individuals. Comparing images of head shields of different individuals by eye is, however, time-consuming, especially when working with large catalogues of photographed animals. Computer-assisted matching of photographs calculates similarity scores between images, thus allowing to limit the visual comparisons to those individuals having the highest scores. The aim of our study was to identify individual patterns of scales on the head shield of ten armadillo species, and test a photo-identification software in identifying individuals based on their head shield pattern. We analyzed 354 frontal photographs of the head shield of 10 species of armadillos taken from different sources. Of those pictures, 153 were different photographs of the same animals. At first, all photographs were compared by eye. Then, we used the pattern extraction and matching software Wild-ID to compare images and find possible matches. None of the individuals on the images were misidentified as other individuals (no false acceptance errors), but the software falsely rejected 26 images. While the most common factors affecting the computer-assisted matching process were the reflection of a flash-light (when flash photography was used) and exposure issues, the flash reflection occurs only when photographing museum collections and is unlikely to affect field photographic surveys unless flash is used in specific conditions, such as for nocturnal armadillos. Our results suggest that the software Wild-ID is a useful tool to individually identify armadillos for capture-recapture studies, including long-term studies. Armadillo (dpeaa)DE-He213 Capture–recapture (dpeaa)DE-He213 Computer-assisted matching (dpeaa)DE-He213 Individual identification (dpeaa)DE-He213 Photo-identification (dpeaa)DE-He213 Scale pattern (dpeaa)DE-He213 Abba, Agustín M. aut Superina, Mariella aut Enthalten in Mammalian biology Amsterdam [u.a.] : Elsevier, 1999 102(2022), 3 vom: Juni, Seite 855-861 (DE-627)343512947 (DE-600)2072973-X 1618-1476 nnns volume:102 year:2022 number:3 month:06 pages:855-861 https://dx.doi.org/10.1007/s42991-022-00260-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 102 2022 3 06 855-861 |
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10.1007/s42991-022-00260-4 doi (DE-627)SPR049170805 (SPR)s42991-022-00260-4-e DE-627 ger DE-627 rakwb eng Gallo, Jorge A. verfasserin (orcid)0000-0003-0985-7492 aut Individual identification of armadillos (Mammalia, Cingulata) using a photo-identification software 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to Deutsche Gesellschaft für Säugetierkunde 2022 Abstract The scales of the head shield of armadillos form a distinctive pattern which facilitates a reliable identification of individuals. Comparing images of head shields of different individuals by eye is, however, time-consuming, especially when working with large catalogues of photographed animals. Computer-assisted matching of photographs calculates similarity scores between images, thus allowing to limit the visual comparisons to those individuals having the highest scores. The aim of our study was to identify individual patterns of scales on the head shield of ten armadillo species, and test a photo-identification software in identifying individuals based on their head shield pattern. We analyzed 354 frontal photographs of the head shield of 10 species of armadillos taken from different sources. Of those pictures, 153 were different photographs of the same animals. At first, all photographs were compared by eye. Then, we used the pattern extraction and matching software Wild-ID to compare images and find possible matches. None of the individuals on the images were misidentified as other individuals (no false acceptance errors), but the software falsely rejected 26 images. While the most common factors affecting the computer-assisted matching process were the reflection of a flash-light (when flash photography was used) and exposure issues, the flash reflection occurs only when photographing museum collections and is unlikely to affect field photographic surveys unless flash is used in specific conditions, such as for nocturnal armadillos. Our results suggest that the software Wild-ID is a useful tool to individually identify armadillos for capture-recapture studies, including long-term studies. Armadillo (dpeaa)DE-He213 Capture–recapture (dpeaa)DE-He213 Computer-assisted matching (dpeaa)DE-He213 Individual identification (dpeaa)DE-He213 Photo-identification (dpeaa)DE-He213 Scale pattern (dpeaa)DE-He213 Abba, Agustín M. aut Superina, Mariella aut Enthalten in Mammalian biology Amsterdam [u.a.] : Elsevier, 1999 102(2022), 3 vom: Juni, Seite 855-861 (DE-627)343512947 (DE-600)2072973-X 1618-1476 nnns volume:102 year:2022 number:3 month:06 pages:855-861 https://dx.doi.org/10.1007/s42991-022-00260-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 102 2022 3 06 855-861 |
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10.1007/s42991-022-00260-4 doi (DE-627)SPR049170805 (SPR)s42991-022-00260-4-e DE-627 ger DE-627 rakwb eng Gallo, Jorge A. verfasserin (orcid)0000-0003-0985-7492 aut Individual identification of armadillos (Mammalia, Cingulata) using a photo-identification software 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to Deutsche Gesellschaft für Säugetierkunde 2022 Abstract The scales of the head shield of armadillos form a distinctive pattern which facilitates a reliable identification of individuals. Comparing images of head shields of different individuals by eye is, however, time-consuming, especially when working with large catalogues of photographed animals. Computer-assisted matching of photographs calculates similarity scores between images, thus allowing to limit the visual comparisons to those individuals having the highest scores. The aim of our study was to identify individual patterns of scales on the head shield of ten armadillo species, and test a photo-identification software in identifying individuals based on their head shield pattern. We analyzed 354 frontal photographs of the head shield of 10 species of armadillos taken from different sources. Of those pictures, 153 were different photographs of the same animals. At first, all photographs were compared by eye. Then, we used the pattern extraction and matching software Wild-ID to compare images and find possible matches. None of the individuals on the images were misidentified as other individuals (no false acceptance errors), but the software falsely rejected 26 images. While the most common factors affecting the computer-assisted matching process were the reflection of a flash-light (when flash photography was used) and exposure issues, the flash reflection occurs only when photographing museum collections and is unlikely to affect field photographic surveys unless flash is used in specific conditions, such as for nocturnal armadillos. Our results suggest that the software Wild-ID is a useful tool to individually identify armadillos for capture-recapture studies, including long-term studies. Armadillo (dpeaa)DE-He213 Capture–recapture (dpeaa)DE-He213 Computer-assisted matching (dpeaa)DE-He213 Individual identification (dpeaa)DE-He213 Photo-identification (dpeaa)DE-He213 Scale pattern (dpeaa)DE-He213 Abba, Agustín M. aut Superina, Mariella aut Enthalten in Mammalian biology Amsterdam [u.a.] : Elsevier, 1999 102(2022), 3 vom: Juni, Seite 855-861 (DE-627)343512947 (DE-600)2072973-X 1618-1476 nnns volume:102 year:2022 number:3 month:06 pages:855-861 https://dx.doi.org/10.1007/s42991-022-00260-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 102 2022 3 06 855-861 |
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10.1007/s42991-022-00260-4 doi (DE-627)SPR049170805 (SPR)s42991-022-00260-4-e DE-627 ger DE-627 rakwb eng Gallo, Jorge A. verfasserin (orcid)0000-0003-0985-7492 aut Individual identification of armadillos (Mammalia, Cingulata) using a photo-identification software 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to Deutsche Gesellschaft für Säugetierkunde 2022 Abstract The scales of the head shield of armadillos form a distinctive pattern which facilitates a reliable identification of individuals. Comparing images of head shields of different individuals by eye is, however, time-consuming, especially when working with large catalogues of photographed animals. Computer-assisted matching of photographs calculates similarity scores between images, thus allowing to limit the visual comparisons to those individuals having the highest scores. The aim of our study was to identify individual patterns of scales on the head shield of ten armadillo species, and test a photo-identification software in identifying individuals based on their head shield pattern. We analyzed 354 frontal photographs of the head shield of 10 species of armadillos taken from different sources. Of those pictures, 153 were different photographs of the same animals. At first, all photographs were compared by eye. Then, we used the pattern extraction and matching software Wild-ID to compare images and find possible matches. None of the individuals on the images were misidentified as other individuals (no false acceptance errors), but the software falsely rejected 26 images. While the most common factors affecting the computer-assisted matching process were the reflection of a flash-light (when flash photography was used) and exposure issues, the flash reflection occurs only when photographing museum collections and is unlikely to affect field photographic surveys unless flash is used in specific conditions, such as for nocturnal armadillos. Our results suggest that the software Wild-ID is a useful tool to individually identify armadillos for capture-recapture studies, including long-term studies. Armadillo (dpeaa)DE-He213 Capture–recapture (dpeaa)DE-He213 Computer-assisted matching (dpeaa)DE-He213 Individual identification (dpeaa)DE-He213 Photo-identification (dpeaa)DE-He213 Scale pattern (dpeaa)DE-He213 Abba, Agustín M. aut Superina, Mariella aut Enthalten in Mammalian biology Amsterdam [u.a.] : Elsevier, 1999 102(2022), 3 vom: Juni, Seite 855-861 (DE-627)343512947 (DE-600)2072973-X 1618-1476 nnns volume:102 year:2022 number:3 month:06 pages:855-861 https://dx.doi.org/10.1007/s42991-022-00260-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 102 2022 3 06 855-861 |
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10.1007/s42991-022-00260-4 doi (DE-627)SPR049170805 (SPR)s42991-022-00260-4-e DE-627 ger DE-627 rakwb eng Gallo, Jorge A. verfasserin (orcid)0000-0003-0985-7492 aut Individual identification of armadillos (Mammalia, Cingulata) using a photo-identification software 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to Deutsche Gesellschaft für Säugetierkunde 2022 Abstract The scales of the head shield of armadillos form a distinctive pattern which facilitates a reliable identification of individuals. Comparing images of head shields of different individuals by eye is, however, time-consuming, especially when working with large catalogues of photographed animals. Computer-assisted matching of photographs calculates similarity scores between images, thus allowing to limit the visual comparisons to those individuals having the highest scores. The aim of our study was to identify individual patterns of scales on the head shield of ten armadillo species, and test a photo-identification software in identifying individuals based on their head shield pattern. We analyzed 354 frontal photographs of the head shield of 10 species of armadillos taken from different sources. Of those pictures, 153 were different photographs of the same animals. At first, all photographs were compared by eye. Then, we used the pattern extraction and matching software Wild-ID to compare images and find possible matches. None of the individuals on the images were misidentified as other individuals (no false acceptance errors), but the software falsely rejected 26 images. While the most common factors affecting the computer-assisted matching process were the reflection of a flash-light (when flash photography was used) and exposure issues, the flash reflection occurs only when photographing museum collections and is unlikely to affect field photographic surveys unless flash is used in specific conditions, such as for nocturnal armadillos. Our results suggest that the software Wild-ID is a useful tool to individually identify armadillos for capture-recapture studies, including long-term studies. Armadillo (dpeaa)DE-He213 Capture–recapture (dpeaa)DE-He213 Computer-assisted matching (dpeaa)DE-He213 Individual identification (dpeaa)DE-He213 Photo-identification (dpeaa)DE-He213 Scale pattern (dpeaa)DE-He213 Abba, Agustín M. aut Superina, Mariella aut Enthalten in Mammalian biology Amsterdam [u.a.] : Elsevier, 1999 102(2022), 3 vom: Juni, Seite 855-861 (DE-627)343512947 (DE-600)2072973-X 1618-1476 nnns volume:102 year:2022 number:3 month:06 pages:855-861 https://dx.doi.org/10.1007/s42991-022-00260-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 102 2022 3 06 855-861 |
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Gallo, Jorge A. |
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Gallo, Jorge A. misc Armadillo misc Capture–recapture misc Computer-assisted matching misc Individual identification misc Photo-identification misc Scale pattern Individual identification of armadillos (Mammalia, Cingulata) using a photo-identification software |
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Individual identification of armadillos (Mammalia, Cingulata) using a photo-identification software Armadillo (dpeaa)DE-He213 Capture–recapture (dpeaa)DE-He213 Computer-assisted matching (dpeaa)DE-He213 Individual identification (dpeaa)DE-He213 Photo-identification (dpeaa)DE-He213 Scale pattern (dpeaa)DE-He213 |
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misc Armadillo misc Capture–recapture misc Computer-assisted matching misc Individual identification misc Photo-identification misc Scale pattern |
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Individual identification of armadillos (Mammalia, Cingulata) using a photo-identification software |
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Individual identification of armadillos (Mammalia, Cingulata) using a photo-identification software |
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individual identification of armadillos (mammalia, cingulata) using a photo-identification software |
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Individual identification of armadillos (Mammalia, Cingulata) using a photo-identification software |
| abstract |
Abstract The scales of the head shield of armadillos form a distinctive pattern which facilitates a reliable identification of individuals. Comparing images of head shields of different individuals by eye is, however, time-consuming, especially when working with large catalogues of photographed animals. Computer-assisted matching of photographs calculates similarity scores between images, thus allowing to limit the visual comparisons to those individuals having the highest scores. The aim of our study was to identify individual patterns of scales on the head shield of ten armadillo species, and test a photo-identification software in identifying individuals based on their head shield pattern. We analyzed 354 frontal photographs of the head shield of 10 species of armadillos taken from different sources. Of those pictures, 153 were different photographs of the same animals. At first, all photographs were compared by eye. Then, we used the pattern extraction and matching software Wild-ID to compare images and find possible matches. None of the individuals on the images were misidentified as other individuals (no false acceptance errors), but the software falsely rejected 26 images. While the most common factors affecting the computer-assisted matching process were the reflection of a flash-light (when flash photography was used) and exposure issues, the flash reflection occurs only when photographing museum collections and is unlikely to affect field photographic surveys unless flash is used in specific conditions, such as for nocturnal armadillos. Our results suggest that the software Wild-ID is a useful tool to individually identify armadillos for capture-recapture studies, including long-term studies. © The Author(s) under exclusive licence to Deutsche Gesellschaft für Säugetierkunde 2022 |
| abstractGer |
Abstract The scales of the head shield of armadillos form a distinctive pattern which facilitates a reliable identification of individuals. Comparing images of head shields of different individuals by eye is, however, time-consuming, especially when working with large catalogues of photographed animals. Computer-assisted matching of photographs calculates similarity scores between images, thus allowing to limit the visual comparisons to those individuals having the highest scores. The aim of our study was to identify individual patterns of scales on the head shield of ten armadillo species, and test a photo-identification software in identifying individuals based on their head shield pattern. We analyzed 354 frontal photographs of the head shield of 10 species of armadillos taken from different sources. Of those pictures, 153 were different photographs of the same animals. At first, all photographs were compared by eye. Then, we used the pattern extraction and matching software Wild-ID to compare images and find possible matches. None of the individuals on the images were misidentified as other individuals (no false acceptance errors), but the software falsely rejected 26 images. While the most common factors affecting the computer-assisted matching process were the reflection of a flash-light (when flash photography was used) and exposure issues, the flash reflection occurs only when photographing museum collections and is unlikely to affect field photographic surveys unless flash is used in specific conditions, such as for nocturnal armadillos. Our results suggest that the software Wild-ID is a useful tool to individually identify armadillos for capture-recapture studies, including long-term studies. © The Author(s) under exclusive licence to Deutsche Gesellschaft für Säugetierkunde 2022 |
| abstract_unstemmed |
Abstract The scales of the head shield of armadillos form a distinctive pattern which facilitates a reliable identification of individuals. Comparing images of head shields of different individuals by eye is, however, time-consuming, especially when working with large catalogues of photographed animals. Computer-assisted matching of photographs calculates similarity scores between images, thus allowing to limit the visual comparisons to those individuals having the highest scores. The aim of our study was to identify individual patterns of scales on the head shield of ten armadillo species, and test a photo-identification software in identifying individuals based on their head shield pattern. We analyzed 354 frontal photographs of the head shield of 10 species of armadillos taken from different sources. Of those pictures, 153 were different photographs of the same animals. At first, all photographs were compared by eye. Then, we used the pattern extraction and matching software Wild-ID to compare images and find possible matches. None of the individuals on the images were misidentified as other individuals (no false acceptance errors), but the software falsely rejected 26 images. While the most common factors affecting the computer-assisted matching process were the reflection of a flash-light (when flash photography was used) and exposure issues, the flash reflection occurs only when photographing museum collections and is unlikely to affect field photographic surveys unless flash is used in specific conditions, such as for nocturnal armadillos. Our results suggest that the software Wild-ID is a useful tool to individually identify armadillos for capture-recapture studies, including long-term studies. © The Author(s) under exclusive licence to Deutsche Gesellschaft für Säugetierkunde 2022 |
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3 |
| title_short |
Individual identification of armadillos (Mammalia, Cingulata) using a photo-identification software |
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https://dx.doi.org/10.1007/s42991-022-00260-4 |
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Abba, Agustín M. Superina, Mariella |
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Abba, Agustín M. Superina, Mariella |
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| doi_str |
10.1007/s42991-022-00260-4 |
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2024-07-03T23:39:42.598Z |
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| score |
7.3998976 |