Hotspotter Photo-id Download 'LINK'

The user provides the software with a rectangular region of interest (ROI) and orientation for each individual picture. From this, hotspotter automatically detects elliptical regions centered on points of interest, the so-called hotspots. If two images have enough similarity in hotspots, they are matched by the software. The software ranks all the potential matches, showing for each match a similarity score and highlighting the section of the images it deems the most similar. It is up to the user to select the final match. The type and size of the dataset affects the height of the score, thus the height of the score is only relative to its dataset. After Hotspotter selects an amount of potential matches, it is up to the user to pick the final match.

Gardiner R. Z., Doran E., Strickland K., Carpenter-Bundhoo L., Frre C. (2014): A face in the crowd: a non-invasive and cost effective photo-identification methodology to understand the fine scale movement of eastern water dragons. Plos One 9: e96992.

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Hotspotter Photo-id Download

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Abstract

Photo-identification is an increasingly used method for the study of animal populations. Natural marks such as coloration or scale pattern to identify individuals provide an inexpensive and less invasive alternative to conventional tagging methods. Photo-identification has previously been used to distinguish individual snakes, usually by comparing the pileus region. Nevertheless, this method is seldom used in capture-recapture studies. We show the effectiveness of photo-identification in snakes using specific software for individual recognition applied to a wildlife control study of horseshoe whip snakes. Photos were analysed with Automatic Photo Identification Suite (APHIS), which allowed us to compare the variability of head scale patterns surrounding the parietal shields instead of the traditional method of using large scale groups of the pileus. APHIS correctly identified 100% of recaptures of snakes. Although further studies are needed, the variability of the surrounding scales of the pileus region seems a robust method to identify and differentiate individuals.

Abstract

Photo-identification is a non-invasive option for mark-recapture. Here, we tested the effectiveness of APHIS, a semi-automated photo-identification software, to distinguish between individual Bahamian Racers (Cubophis vudii vudii) on the island of Eleuthera, The Bahamas. Over 10 months, we photographed 50 Bahamian Racers. We first identified individuals by manually comparing colouration and scale patterns in the pileus and labial regions. Next, we used APHIS to identify recaptured individuals after manually identifying the locations of intersections of the scales in the pileus and labial regions. In addition, we assessed whether images taken with a hand-held camera or by a smart phone affected the accuracy of APHIS. All recaptured snakes were correctly identified using APHIS from both camera or phone images as validated by our manually derived results. We conclude that APHIS is an effective tool for photo-identification in snakes.

Carpentier A. S., Jean C., Barret M., Chassagneux A., Ciccione S. (2016): Stability of facial scale patterns on green sea turtles Chelonia mydas over time: A validation for the use of a photo-identification method. Journal of Experimental Marine Biology and Ecology 476: 15-21.

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Gatto C. R., Rotger A., Robinson N. J., Tomillo P. S. (2018): A novel method for photo-identification of sea turtles using scale patterns on the front flippers. Journal of Experimental Marine Biology and Ecology 506: 18-24.

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Dunbar S. G., Anger E. C., Parham J. R., Kingen C., Wright M. K., Hayes C. T., Safi S., Holmberg J., Salinas L., Baumbach, D. S. (2021): HotSpotter: Using a computer-driven photo-id application to identify sea turtles. Journal of Experimental Marine Biology and Ecology 535: 151490.

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Buteler C., Bardier C., Cabrera M. R., Gonzalez Y., Vlez-Rubio G. M. (2022): To tag or not to tag: comparative performance of tagging and photo-identification in a long-term mark-recapture of Juvenile Green Turtles (Chelonia mydas). Amphibia-Reptilia 44: 45-58.

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Abstract

While polyandry in sea turtles is indicated through multiple-paternity analyses of offspring, confirmed observations of the same female mating with multiple males are extremely challenging to obtain. To contribute to this discussion, we analysed a long-term photo-identification database (>20 years) of adult male and female loggerhead sea turtles frequenting the breeding area of Zakynthos, Greece, Mediterranean. A total of 38 records of mating individuals within and across seasons were assimilated via field surveys and citizen science records between 2003 and 2020. For one female, we recorded it mating with two different males within a 5.5-h interval on the same day in 2015. This observation constitutes the first direct evidence of polyandry in sea turtles, in addition to highlighting the potential for photo-identification to contribute information on less well-known aspects of sea turtle biology, such as validating outputs of genetic studies.

Hiby, L., Paterson, W. D., Redman, P., Watkins, J., Twiss, S. D., & Pomeroy, P. (2012). Analysis of photo-id data allowing for missed matches and individuals identified from opposite sides. Methods in Ecology and Evolution, 4(3), 252-259. doi:10.1111/2041-210x.12008

Urian, K., Gorgone, A., Read, A., Balmer, B., Wells, R. S., Berggren, P., Hammond, P. S. (2014). Recommendations for photo-identification methods used in capture-recapture models with cetaceans. Marine Mammal Science, 31(1), 298-321. doi:10.1111/mms.12141 2351a5e196