Computer Vision Tools for Automatic Animal Behavioral Classification in Complex Environments

Our research team will develop an accessible computer vision toolbox to automatically track multiple animals and classify their behaviors in complex social environments. We will harness state-of-the-art developments in machine learning and computer vision as well as a rich dataset of manually annotated video recordings.


Other Researchers

Ada Eban-Rothschild (Psychology)

Justin Johnson (Electrical Engineering and Computer Science)