Tracking as Online Decision-Making: Learning a Policy from Streaming Videos with Reinforcement Learning

no code implementations • ICCV 2017 • James Steven Supancic III, Deva Ramanan

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.

Decision Making Reinforcement Learning (RL)

Depth-based hand pose estimation: methods, data, and challenges

no code implementations • 24 Apr 2015 • James Steven Supancic III, Gregory Rogez, Yi Yang, Jamie Shotton, Deva Ramanan

To spur further progress we introduce a challenging new dataset with diverse, cluttered scenes.

Hand Pose Estimation