Researchers at Tokyo Institute of Technology (Tokyo Tech) working in collaboration with colleagues at Carnegie Mellon University, the University of St Andrews and the University of New South Wales ...

Accurately estimating 3D poses and body shapes from a single image is critical for several applications, such as behavior analysis and security alerts. Unfortunately, many existing multi-person ...

The Artificial Intelligence (AI) Team is focused on research about computer vision to analyze human interaction through body movement and motion tracking for multiple persons in a 3-dimensional space.

A new AI-powered framework has been developed, offering new capabilities for the real-time analysis of two hands engaged in manipulating an object. A research team led by Professor Seungryul Baek from ...

Scientists from Carnegie Mellon University have developed a cheap way to sense humans through walls by using two Wi-Fi routers to image a human's 3D shape and pose. The researchers outline in a new ...

Researchers have developed a wrist-worn device for 3D hand pose estimation. The system consists of a camera that captures images of the back of the hand, and is supported by a neural network called ...