Title :
A Visible/Infrared Fusion Algorithm for Distributed Smart Cameras
Author :
Chen, Cheng-Yao ; Lin, Tai-Ming ; Wolf, Wayne H.
Author_Institution :
Dept. of Electr. Eng., Princeton Univ., Princeton, NJ
Abstract :
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.
Keywords :
image fusion; object recognition; video surveillance; distributed smart cameras; multispectral information fusion; video surveillance; visible/infrared fusion algorithm; Feedback; Infrared detectors; Infrared spectra; Infrared surveillance; Lighting; Merging; Robustness; Signal processing algorithms; Smart cameras; Video surveillance;
Journal_Title :
Selected Topics in Signal Processing, IEEE Journal of
DOI :
10.1109/JSTSP.2008.2001309