Automatic image-based re-identification of ringed seals

• Main Author: Nepovinnykh, Ekaterina
• Other Authors: Rahtu, Esa, Lappeenrannan-Lahden teknillinen yliopisto LUT, Lappeenranta-Lahti University of Technology LUT, fi=School of Engineering Science|en=School of Engineering Science|, Stewart, Charles, Kälviäinen, Heikki, Eerola, Tuomas
• Format: Doctoral or Postdoctoral Thesis
• Language: English
• Published: Lappeenranta-Lahti University of Technology LUT 2022
• Subjects: machine vision; image processing; animal re-identification; photo-identification; convolutional neural networks; fi=School of Engineering Science; Laskennallinen tekniikka|en=School of Engineering Science; Computational Engineering|; Norppa; Pusa hispida; ringed seal
• Online Access: https://lutpub.lut.fi/handle/10024/164514

Automated wildlife re-identification has attracted increasing attention in recent years as it provides a non-invasive tool to identify and track individual wild animals over time. Animal re-identification, together with access to a large amount of image material through camera traps and crowd-sourci...