Tracking body poses of multiple persons in monocular video is a challenging problem due to the high dimensionality of the state space and issues such as inter-occlusion of the pers...
In this paper, we propose a unified graphical-model framework to interpret a scene composed of multiple objects in monocular video sequences. Using a single pairwise Markov random...
We present a novel approach for visual tracking of structured behaviour as observed in human–computer interaction. An automatically acquired variable-length Markov model is used...
Nikolay Stefanov, Aphrodite Galata, Roger J. Hubbo...
— This paper presents an analytical model for the analysis of Hybrid ARQ techniques on Discrete Time Markov Channels by means of Markov chains. The first contribution is an orig...
This paper evaluates the use of Visual Deictic Reference (VDR) in Collaborative Virtual Environments (CVEs). A simple CVE capable of hosting two (or more) participants simultaneou...
Andrew T. Duchowski, Nathan Cournia, Brian Cumming...