  This work introduces a co-capture system for multi-animal visual data
acquisition using conventional cameras and event cameras. Event cameras offer
multiple advantages over frame-based cameras, such as a high temporal
resolution and temporal redundancy suppression, which enable us to efficiently
capture the fast and erratic movements of fish. We furthermore present an
event-based multi-animal tracking algorithm, which proves the feasibility of
the approach and sets the baseline for further exploration of combining the
advantages of event cameras and conventional cameras for multi-animal tracking.
