Computer-aided photo-identification system with an application to polar bears based on whisker spot patterns
| Autor: | Niels da Vitoria Lobo, Carlos J. R. Anderson, James D. Roth, Jane M. Waterman |
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| Rok vydání: | 2010 |
| Předmět: |
Ecology
Computer science business.industry Photography Pattern recognition Identification (information) Pattern recognition (psychology) Genetics Computer-aided False positive paradox Preprocessor Animal Science and Zoology Artificial intelligence business Ecology Evolution Behavior and Systematics Selection (genetic algorithm) Blossom algorithm Nature and Landscape Conservation |
| Zdroj: | Journal of Mammalogy. 91:1350-1359 |
| ISSN: | 1545-1542 0022-2372 |
| DOI: | 10.1644/09-mamm-a-425.1 |
| Popis: | 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 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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