Short Note: Performance of Computer-Assisted Photographic Matching of Guiana Dolphins (Sotalia guianensis)

Beirão, Luiza; Cantor, Maurício; Flach, Leonardo; Galdino, Conrado A. B.

doi:10.1578/am.40.3.2014.313

Cited by 4 publications

(3 citation statements)

References 26 publications

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“…The two photographic image-matching pro rams t at e tested identified correct recaptures in the 70% range, but with a performance difference of 3.8%. The 70% value is reasonab efficient and and abo t t e same as those reported in other studies of the performance of comp ter assisted p oto rap ic identification (e.g., Kenyon et al 2009, Beirão et al 2014. Although both programs only performed at the 70% level, the enhanced processing speed is beneficia s t e se of soft are seems to be a s itab e a ternative for man scientific purposes (e.g., avoidance of pseudo-replication).…”

Section: Discussionsupporting

confidence: 85%

Efficiency of photo identification of inguinal color patterns of Pithecopus gonzagai (Anura: Phyllomedusidae) from northeastern Brazil

et al. 2021

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Animal monitoring research involving mark-recapture techniques increasingly requires non-invasive methods of individual identification. The photographic identification method (PIM) is an excellent tool for this purpose and has been applied successfully to many taxa. However, the utility of PIM is a function of species-specific features that are judged suitable for a given target-species. Herein, the suitability of inguinal color patterns for photo identification of individuals of Pithecopus gonzagai are evaluated by comparing two widely used computer-assisted photographic matching programs (I³S and Wild.ID). Both programs accurately identified more than 70% of individuals in the top 20 potential matching photographs. Wild.ID was slightly better than I³S in matching efficiency and has a faster processing time. Thus, PIM is useful to identify individual P. gonzagai; however, before implementing the technique in animal-monitoring studies of other taxa, one must evaluate the suitability PIM for the target species and calibrate the relative efficiency of the software programs in identifying individuals.

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Section: Discussionsupporting

confidence: 85%

Efficiency of photo identification of inguinal color patterns of Pithecopus gonzagai (Anura: Phyllomedusidae) from northeastern Brazil

et al. 2021

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“…When the quality of photo-ID decreased the rank also decreased (Towner et al 2013). Based on dorsal fin photographic assessment criteria of Gowans and Whitehead (2001), a total of 1078 photographs (right side of dorsal fin) of Q5, Q4 and Q3 were imported into DARWIN 2.22 for IOS 2011 dorsal fin ID software (Wilkin et al 1998, Barata and Brooks 2005, Beirão et al 2014 (Table 1). Well-marked (having nicks in dorsal fins) photographs were considered for analysis.…”

Section: Photo Identificationmentioning

confidence: 99%

Population estimation, distribution, and habitat preference of Irrawaddy dolphins Orcaella brevirostris (Owen in Gray, 1866) in the Brunei Bay, Malaysian waters

et al. 2018

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“…The need to monitor cetacean populations for management purposes typically requires assessments of abundance 1 , 2 , site fidelity 3 , movement patterns 4 , 5 and social structure 6 . A range of methods have been used to examine these parameters including: distance-sampling where line-transect surveys are used to count animals to assess their density 7 , 8 , and mark-recapture (MRC) analysis using sightings (and re-sightings) of naturally or artificially marked individuals as a sample of the population 9 .…”

Section: Introductionmentioning

confidence: 99%

Examining the viability of dorsal fin pigmentation for individual identification of poorly-marked delphinids

Pawley

Hupman

Stockin

et al. 2018

Sci Rep

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Dolphin photo-identification has traditionally relied only on distinctive markings on the dorsal fin—this is problematic for delphinids whose populations exhibit a low mark ratio. We used common dolphins (genus Delphinus) as a model species to assess the viability of using pigmentation for photo-identification. Using a photo-identification catalogue of 169 adult individuals collected between 2002 and 2013, we extracted features that quantified pigmentation in a manner that was robust to lighting artefacts and dorsal fin orientation. We determined the proportion of individuals which exhibited pigmentation and examined temporal stability by (i) visually examining individuals and (ii) testing for seriation. We found 88–91% of images could be manually matched to the correct individual in the catalogue based on pigmentation patterns alone. A linear discriminant analysis classifier correctly identified the correct individual 77% of the time. We found 95% common dolphins exhibited distinctive pigmentation—all of which were temporarily stable. Our work challenges the current thinking that pigmentation is an unreliable feature for delphinid photo-identification and suggests that this feature could be applied to common dolphins and other poorly-marked delphinids.

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Short Note: Performance of Computer-Assisted Photographic Matching of Guiana Dolphins (Sotalia guianensis)

Cited by 4 publications

References 26 publications

Efficiency of photo identification of inguinal color patterns of Pithecopus gonzagai (Anura: Phyllomedusidae) from northeastern Brazil

Efficiency of photo identification of inguinal color patterns of Pithecopus gonzagai (Anura: Phyllomedusidae) from northeastern Brazil

Population estimation, distribution, and habitat preference of Irrawaddy dolphins Orcaella brevirostris (Owen in Gray, 1866) in the Brunei Bay, Malaysian waters

Examining the viability of dorsal fin pigmentation for individual identification of poorly-marked delphinids

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