A Bayesian framework is proposed for stereo vision where solutions to both the model parameters and the disparity map are posed in terms of predictions of latent variables, given ...
This article presents a stereo system for the detection of pedestrians using far-infrared cameras. Since pedestrian detection in far-infrared images can be difficult in some envir...
Massimo Bertozzi, Alberto Broggi, Claudio Caraffi,...
We address visual perception for personal service robotic systems in the home. We start by identifying the main functional modules and their relationships. This includes self-loca...
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...
Variations in illumination can have a dramatic effect on the appearance of an object in an image. In this paper, we propose how to deal with illumination variations in eigenspace ...