Precision in human-robot interaction depends on the ability to recognise and track human faces along with detailed facial ...

Visual object tracking comprises a spectrum of methodologies designed to locate and follow a target’s position across sequential video frames. Over the years, the field has developed from traditional ...

Researchers at the University of Toronto Institute for Aerospace Studies (UTIAS) have introduced a pair of high-tech tools that could improve the safety and reliability of autonomous vehicles by ...

Researchers have adapted deep learning techniques in a multi-object tracking framework, overcoming short-term occlusion and achieving remarkable performance without sacrificing computational speed.

Humanoid robot David is perceiving a cup using his RGB-D camera; in the following, he will grasp it and fill the dishwasher. Tracking objects and kinematic structures in 3D space and determining their ...