Multitarget tracking in sensor networks integrates detection, data association and state estimation to localise multiple dynamic objects using distributed or centralised sensor arrays. Typical systems ...

Spatiotemporal tracking of tracer particles or objects of interest can reveal localized behaviors in biological and physical systems. However, existing tracking algorithms are most effective for ...

It's about to get easier to catch and analyze a high-quality image of fast-moving molecules. Assistant Professor Ioannis Sgouralis, Department of Mathematics, and colleagues have developed an ...

A simple camera system paired with a sophisticated image-processing algorithm can achieve faster and more accurate reconstructions of particle flow. By replacing a complex hardware setup with simple ...

Millions of people communicate using sign language, but so far projects to capture its complex gestures and translate them to verbal speech have had limited success. A new advance in real-time hand ...

Like the core algorithm, Google’s Knowledge Graph periodically updates. But little has been known about how, when, and what it means — until now. I believe these updates consist of three things: ...

Modern IRST (infrared sighting and tracking) sensors allow for the efficient tracking of an enemy target (in Italy, we have the excellent Skyward-G, developed by Selex Galileo). However, the problem ...

Researchers have developed a quantum particle swarm optimization algorithm for maximum power point tracking that reportedly generates 3.33% more power in higher temperature tests and 0.89% more power ...

Magic Leap, the mysterious AR startup with a multiple-billion dollar valuation, still doesn’t have a headset to show the world, but in a recent paper published by Magic Leap researchers entitled ...

Keeping track of dolphins is a slippery, patchy process. First, you must procure time on a ship or aircraft, which is expensive. After that, what you see depends on uncontrollable factors like weather ...