Visual Attention Using Game Theory
Author(s) -
Ola Ramström,
Henrik I. Christensen
Publication year - 2002
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
ISBN - 3-540-00174-3
DOI - 10.1007/3-540-36181-2_46
Subject(s) - computer science , process (computing) , human–computer interaction , set (abstract data type) , selection (genetic algorithm) , artificial intelligence , game theory , programming language , mathematical economics , mathematics
A system using visual information to interact with its environment, e.g. a robot, needs to process an enormous amount of data. To ensure that the visual process has tractable complexity visual attention plays an important role.A visual process will always have a number of implicit and explicit tasks that defines its purpose. The present document discusses attention mechanisms for selection of visual input to respond to the current set of tasks. To provide a truly distributed approach to attention it is suggested to model the control using game theory, in particular coalition games.
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