James Supancic

Tracking as Online Decision-Making: Learning a Policy From Streaming Videos With Reinforcement Learning

We formulate tracking as an online decision-making process, where a tracking agent must follow an object despite ambiguous image frames and a limited computational budget. Crucially, the agent must decide where to look in the upcoming frames, when to reinitialize because it believes the target has b…