Journal
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING
Volume 2, Issue 4, Pages 514-525Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSTSP.2008.2001309
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Funding
- Army Research Office [W911NF-07-1-0574]
- National Science Foundation [0325119]
- Division of Computing and Communication Foundations
- Direct For Computer & Info Scie & Enginr [0325119] Funding Source: National Science Foundation
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This paper describes an algorithm for visible/infrared fusion for video surveillance. Our technique combines signal-level and decision-level multispectral information fusion. We combine several techniques: we model observations in each spectral channel by a typical pixel-level mixture-of-Gaussian-based model; we model high level factors such as confidence of each modality, motion, object area, and lighting with a hierarchical probabilistic model. Our hierarchical model improves performance under global illumination changes, random parameter failures of background subtraction, occlusion and merge/split.
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