Hanheide, Marc, Bauckhage, Christian and Sagerer, Gerhard (2004) Memory consistency validation in a cognitive vision system. In: 17th International Conference on Pattern Recognition, August 23-26, 2004.
Full content URL: http://dx.doi.org/10.1109/ICPR.2004.1334260
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| Item Type: | Conference or Workshop contribution (Paper) |
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| Item Status: | Live Archive |
Abstract
Information fusion is a mandatory prerequisite for
cognitive vision systems. These are vision systems that apply reasoning and learning on different levels of abstraction and correspondingly have to deal with hypotheses from different categorical domains. Following some principles of human cognition, we
present an approach to information fusion that closely couples
reasoning and representation. We will discuss how processes like
probabilistic contextual reasoning as well as functional and nonfunctional requirements in storing data from different sources can
be integrated by a unified XML based data representation. Due
to the interaction between active processes and data storage, we
call our approach an active memory. Performance results of an
implemented system as well as an evaluation of data fusion from
contextual inference will be presented
| Additional Information: | Information fusion is a mandatory prerequisite for cognitive vision systems. These are vision systems that apply reasoning and learning on different levels of abstraction and correspondingly have to deal with hypotheses from different categorical domains. Following some principles of human cognition, we present an approach to information fusion that closely couples reasoning and representation. We will discuss how processes like probabilistic contextual reasoning as well as functional and nonfunctional requirements in storing data from different sources can be integrated by a unified XML based data representation. Due to the interaction between active processes and data storage, we call our approach an active memory. Performance results of an implemented system as well as an evaluation of data fusion from contextual inference will be presented |
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| Keywords: | Robotics, Human-robot interaction |
| Subjects: | H Engineering > H670 Robotics and Cybernetics |
| Divisions: | College of Science > School of Computer Science |
| Related URLs: | |
| ID Code: | 6948 |
| Deposited On: | 23 Nov 2012 18:47 |
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