Animal Reidentification using Restricted Set Classification

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  • AnimalReidentification

    Accepted author manuscript, 6.69 MB, PDF document

    Embargo ends: 2/02/22

    Licence: CC BY-NC-ND Show licence


Individual animal recognition and re-identification from still images or video are useful for research in animal behaviour, environment preservation, biology and more. We propose to use Restricted Set Classification (RSC) for classifying multiple animals simultaneously from the same image. Our literature review revealed that this problem has not been solved thus far. We applied RSC on a koi fish video using a convolutional neural network (CNN) as the individual classifier. Our results demonstrate that RSC is significantly better than applying just the CNN, as it eliminates duplicate labels in the same image and improves the overall classification accuracy.
Original languageEnglish
Article number 101225
JournalEcological Informatics
Early online date2 Feb 2021
Publication statusPublished - May 2021
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