Special Session - NEXT GENERATION VISION SYSTEMS
Organisers:
Abstract
Vision based devices have been entering the industrial and private
world more and more successfully: Face recognition systems control the
access to buildings; airports and train stations are controlled by Video
Surveillance devices; and cars become equipped with vision based driver
assistance systems.
However, the gap between human performance and the top performance
of today's artificial visual systems is considerable. Especially, scene
analysis in unfamiliar environments allowing for highly reliable actions
is yet an outstanding quality of biological systems.
The next generation of vision systems will have to show stable and
reliable performance in uncontrolled environments in real time. To achieve
reliability these systems need to make use of regularities in visual
data. In this respect, the representation of the temporal structure
of visual data as well as the fusion of visual sub-modalities are crucial.
Such systems also need to be equipped with a sufficient amount of prestructured
knowledge as well as the ability to deal with uncertainties and to learn
in complex environments.
