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2005 IEEE International Conference on Multimedia and Expo
A neural-field-like approach for modeling human group actions in meetings
Amsterdam, Netherlands
July 06-July 06
ISBN: 0-7803-9331-7
S. Reiter, Inst. for Human-Machine Commun., Technische Univ. Munchen, Germany
G. Rigoll, Inst. for Human-Machine Commun., Technische Univ. Munchen, Germany
In this paper we investigate a new architecture for recognizing human group actions in meetings. These group actions provide a basis that enables effective browsing and querying in a meeting archive. For this task we propose an architecture that was inspired by the neural field theory. Our approach is particular, because contrary to other methods, we present all features to our classifier in parallel. The experiments show, that our system has comparable results to existing sequential techniques.
Index Terms:
parallel classification, human group action recognition, browsing, querying, meeting archive, neural field theory
Citation:
S. Reiter, G. Rigoll, "A neural-field-like approach for modeling human group actions in meetings," icme, pp.4 pp., 2005 IEEE International Conference on Multimedia and Expo, 2005
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