A cognitive vision system for action recognition in office environments

Authors:
C. Bauckhage;M. Hanheide;S. Wrede;G. Sagerer
Affiliations:
Bielefeld University, Faculty of Technology, Bielefeld, Germany;Bielefeld University, Faculty of Technology, Bielefeld, Germany;Bielefeld University, Faculty of Technology, Bielefeld, Germany;Bielefeld University, Faculty of Technology, Bielefeld, Germany
Venue:
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Year:
2004

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Abstract

The emerging cognitive vision paradigm is concerned with vision systems that evaluate, gather and integrate contextual knowledge for visual analysis. In reasoning about events and structures, cognitive vision systems should rely on multiple computations in order to perform robustly even in noisy domains. Action recognition in an unconstrained office environment thus provides an excellent testbed for research on cognitive computer vision. In this contribution, we present a system that consists of several computational modules for object and action recognition. It applies attention mechanisms, visual learning and contextual as well as probabilistic reasoning to fuse individual results and verify their consistency. Database technologies are used for information storage and an XML based communication framework integrates all modules into a consistent architecture.