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.
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© 2006 Springer-Verlag Berlin Heidelberg
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Atrey, P.K., Kankanhalli, M.S., El Saddik, A. (2006). Confidence Building Among Correlated Streams in Multimedia Surveillance Systems. In: Cham, TJ., Cai, J., Dorai, C., Rajan, D., Chua, TS., Chia, LT. (eds) Advances in Multimedia Modeling. MMM 2007. Lecture Notes in Computer Science, vol 4352. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69429-8_16
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DOI: https://doi.org/10.1007/978-3-540-69429-8_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69428-1
Online ISBN: 978-3-540-69429-8
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