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PhD forum: Dempster-Shafer based camera contribution evaluation for task assignment in vision networks

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4 Author(s)
Morbee, M. ; TELIN - IPI - IBBT, Ghent Universit, Ghent, Belgium ; Tessens, L. ; Philips, W. ; Aghajan, H.

In a network of cameras, it is important that the right subset of cameras takes care of the right task. In this work, we describe a general framework to evaluate the contribution of subsets of cameras to a task. Each task is the observation of an event of interest and consists of assessing the validity of a set of hypotheses. All cameras gather evidence for those hypotheses. The evidence from different cameras is fused by using the Dempster-Shafer theory of evidence. After combining the evidence for a set of cameras, the remaining uncertainty about a set of hypotheses, allows us to identify how well a certain camera subset is suited for a certain task. Taking into account these subset contribution values, we can determine in an efficient way the set of subset-task assignments that yields the best overall task performance.

Published in:

Distributed Smart Cameras, 2009. ICDSC 2009. Third ACM/IEEE International Conference on

Date of Conference:

Aug. 30 2009-Sept. 2 2009