Face versus Body Tracking for Human-Robot Interaction: An Egocentric Dataset 事件

Face versus Body Tracking for Human-Robot Interaction: An Egocentric Dataset arXiv:2606.03694v1 Announce Type: cross Abstract: To enable meaningful human-robot interaction (HRI), a robot must continuously assess engagement by consistently tracking users over time. State-of-the-art computer vision models, however, are heavily optimized for surveillance or autonomous driving. A social robot faces distinct egocentric challenges, such as humans bouncing, obstructing each other, or leaving the frame