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Detection thresholding using mutual information

Ó Conaire, Ciarán and O'Connor, Noel E. and Cooke, Eddie and Smeaton, Alan F. (2006) Detection thresholding using mutual information. In: VISAPP 2006 - International Conference on Computer Vision Theory and Applications, 25-28 February 2006, Setubal, Portugal.

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In this paper, we introduce a novel non-parametric thresholding method that we term Mutual-Information Thresholding. In our approach, we choose the two detection thresholds for two input signals such that the mutual information between the thresholded signals is maximised. Two efficient algorithms implementing our idea are presented: one using dynamic programming to fully explore the quantised search space and the other method using the Simplex algorithm to perform gradient ascent to significantly speed up the search, under the assumption of surface convexity. We demonstrate the effectiveness of our approach in foreground detection (using multi-modal data) and as a component in a person detection system.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:thresholding; mutual-information; fusion; multi-modal;
Subjects:Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Research Initiatives and Centres > Adaptive Information Cluster (AIC)
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland, SFI 03/IN.3/I361, Irish Research Council for Science Engineering and Technology
ID Code:351
Deposited On:14 Mar 2008 by DORAS Administrator. Last Modified 05 May 2010 14:22

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