Confidence building among correlated streams in multimedia surveillance systems

Authors:
Pradeep K. Atrey;Mohan S. Kankanhalli;Abdulmotaleb El Saddik
Affiliations:
School of Information Technology and Engineering, University of Ottawa, Canada;Department of Computer Science, School of Computing, National University of Singapore, Republic of Singapore;School of Information Technology and Engineering, University of Ottawa, Canada
Venue:
MMM'07 Proceedings of the 13th International conference on Multimedia Modeling - Volume Part II
Year:
2007

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Abstract

Multimedia surveillance systems utilize multiple correlated media streams, each of which has a different confidence level in accomplishing various surveillance tasks. For example, the system designer may have a higher confidence in the video stream compared to the audio stream for detecting humans running events. The confidence level of streams is usually precomputed based on their past accuracy. This traditional approach is cumbersome especially when we add a new stream in the system without the knowledge of its past history. This paper proposes a novel method which dynamically computes the confidence level of new streams based on their agreement/disagreement with the already trusted streams. The preliminary experimental results show the utility of our method.