We describe a tracker that can track moving people in long sequences without manual initialization. Moving people are modeled with the assumption that, while configuration can var...
Reliably recovering 3D human pose from monocular video requires models that bias the estimates towards typical human poses and motions. We construct priors for people tracking usi...
In this paper we address the problem of on-line recognition of human activities taking place in a public area such as a shopping center. We consider standard activities; namely, en...
Abstract— This paper describes a feasibility study for a selfcontained, wearable full-body motion capture system based on time-of-flight measurements that provide absolute dista...
Christopher Einsmann, Meghan Quirk, Ben Muzal, Bha...
Many difficult visual perception problems, like 3D human motion estimation, can be formulated in terms of inference using complex generative models, defined over high-dimensional ...