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Start of funding 01.01.2024
Video-based Artificial Intelligence Methods for Re-Identification and Behaviour Prediction for Animals
Prof. Dr. Björn Eskofier
Friedrich-Alexander-University of Erlangen-Nuremberg
Machine Learning and Data Analytics Lab
Dr. Mathias Tobler
San Diego Zoo Wildlife Alliance
Conservation Science and Wildlife Health
The Video-based Re-Identification and Behaviour Analysis for Animals (VERA) project is an
interdisciplinary collaboration led by the Machine Learning and Data Analytics Lab (MaD Lab).
The VERA project forms a bridge between biological and ecological research and the machine
learning field in order to develop a new generation of video-based algorithms for the tasks of re-
identification of individual animals as well as detection of shown behaviour. Our focus here is on
implementing the models in such a way that they utilise the movement of the animals as a
temporal feature. This helps both in the differentiation of individual animals as well as in the
detection of displayed behaviour.