In this paper, we propose an algorithm for sustained tracking of humans, where we combine frame-to-frame articulated motion estimation with a per-frame body detection algorithm. T...
In order to enable intuitive physical interaction with autonomous robots as well as in collaborative multi-user virtual reality and teleoperation systems a deep understanding of h...
We propose a generative statistical approach to human motion modeling and tracking that utilizes probabilistic latent semantic (PLSA) models to describe the mapping of image featu...
Discriminative approaches to human pose inference involve mapping visual observations to articulated body configurations. Current probabilistic approaches to learn this mapping ha...
In teleoperation systems, link flexion results in kinematic errors, such that the position mapping between the master motion and slave motion is not correct. For haptic feedback ...