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 ...

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 ...

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 ...

We propose a novel, highly efficient sparse approach to region-based 6DoF object tracking that requires only a monocular RGB camera and the 3D object model. The key contribution of our work is a ...

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