Today, the most successful methods for image-understanding tasks rely on feed-forward neural networks. Although this approach offers empirical accuracy, efficiency and task adaptation through ...

This study compared the multiple object tracking (MOT) performance of athletes vs. non-athletes and expert athletes vs. novice athletes by systematically reviewing and meta-analyzing the literature. A ...

Researchers developed a new 3D method that can be used to track fast-moving objects at unprecedented high speeds. The optical setup for their experiments is shown. WASHINGTON — Researchers have ...

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 ...

In the context of video editing, tracking flat areas can become a major plus if done properly, which is important when blurring out data or adding some breathtaking visualizations. However, when it ...

A new real-time, 3D motion tracking system developed at the University of Michigan combines transparent light detectors with advanced neural network methods to create a system that could one day ...

A newly created biologically inspired compound eye is helping scientists understand how insects use their compound eyes to sense an object and its trajectory with such speed. The compound eye could ...