Vision systems with the human in the loop
EURASIP Journal on Applied Signal Processing
An augmented reality human-computer interface for object localization in a cognitive vision system
Image and Vision Computing
Coordinating interactive vision behaviors for cognitive assistance
Computer Vision and Image Understanding
Foundations and Trends® in Computer Graphics and Vision
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Ensuring the consistency of memory content is a key feature of cognitive vision systems. This paper presents an approach to deal with functional dependencies of hypotheses stored in a visual active memory. By means of Bayesian networks a probabilistic approach is used to incorporate uncertainty of observations. Furthermore, a measurement to detect inconsistencies in the memory is introduced. The benefit of this validation module as part of an integrated system is shown for the task of visual surveillance in an office scenario.