This paper presents a general gait representation framework for video-based human motion estimation. Specifically, we want to estimate the kinematics of an unknown gait from image ...
It has been demonstrated that basic aspects of human visual motion perception are qualitatively consistent with a Bayesian estimation framework, where the prior probability distri...
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...
Gaussian processes have been widely used as a method for inferring the pose of articulated bodies directly from image data. While able to model complex non-linear functions, they ...
This paper considers humming-based human verification and identification systems. Humming of a target person is modeled as a Gaussian mixture model, and the matching score betwe...