Artificial intelligence and applications in mouse detection and tracking.

Dr. Huiyu Zhou

Abstract

The study of mouse social behaviours has been increasingly undertaken in neuroscience research. However, automated quantification of mouse behaviours from the videos of interacting mice is still a challenging problem, where object tracking plays a key role in locating mice in their living spaces. In this talk, we propose a novel method to continuously detect and track several mice and individual parts without requiring any specific tagging. We evaluate our proposed approach against several baselines on our new datasets, where the results show that our method outperforms the other state-of-the-art approaches in terms of accuracy.