Ein Software Framework für Cognitive Vision Systeme
Markus Vincze
Institut für Automatisierungs- und Regelungstechnik
TU Wien
Montag, 12.07.2004, 16 Uhr c.t., Hörsaal 9
Cognitive Vision Systeme (CVS) attempt to provide solutions for tasks such
as exploring the environment, making robots act autonomously or
understanding actions of people. What these systems have in common is the
use of a large number of models and techniques, e.g., perception-action
mapping, recognition and categorisation, prediction, reaction and symbolic
interpretation, and communication to humans. Within this contribution these
cognitive vision functionalities of a CVS are encapsulated in components. To
arrive at the level of building a system from these functionalities it is
considered essential to provide a framework that coordinates the components.
Two principles organise the components: (1) the service principle uses a
"yellow pages" directory to announce its capabilities and to select other
components, and (2) the hierarchy principle orders components along data
abstraction from signal to symbolic levels and ascertains that system
response is reactive. ActIPret shows the interpretation of a person handling
tools involving functionalities such as tracking, object and gesture
recognition, spatial-temporal object relationships and reasoning to extract
the symbolic description. To move towards other multi-task CVS we invite
researchers to exchange components and framework.