We present a Bayesian framework for action recognition through ballistic dynamics. Psycho-kinesiological studies indicate that ballistic movements form the natural units for human...
We present a system that allows users of any skill to conduct a virtual orchestra. Tempo and volume of the orchestra's performance are influenced with a baton. Pinocchio work...
Bernd Bruegge, Christoph Teschner, Peter Lachenmai...
In previous work [14], we modify the hidden Markov model (HMM) framework to incorporate a global parametric variation in the output probabilities of the states of the HMM. Develop...
New input technologies (such as touch), recognition based input (such as pen gestures) and next-generation interactions (such as inexact interaction) all hold the promise of more ...
Julia Schwarz, Scott E. Hudson, Jennifer Mankoff, ...
In this paper, we propose a general framework for fusing bottom-up segmentation with top-down object behavior classification over an image sequence. This approach is beneficial fo...