Paper Info
Title
Motion-Based Video Fusion Using Optical Flow Information
Abstract
Multi-sensor information fusion aims at extracting and combining useful information from different sensors. This paper addresses the problem of estimating and visualising motion information from a pair of visible and infrared cameras, using an optical flow technique. Videos from cameras sensitive to visible light are rich in texture and colour information such that a moving target can readily be positioned. On the other hand, videos from infrared cameras provide extra information which cannot be detected in the visible-light spectrum. In this paper we introduce a stochastic rule for combining optical flow computed from two (or more) sources. We also propose a novel motion- contingent selection method for the fusion of the co-registered visible and infrared video sources.
Year
DOI
Venue
2006
10.1109/ICIF.2006.301814
2006 9TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION, VOLS 1-4
Keywords
Field
DocType
optical flow, image fusion, motion information, motion fusion, least squares
Least squares,Computer vision,Image sensor,Image fusion,Image texture,Computer science,Fusion,Visible spectrum,Artificial intelligence,Infrared,Optical flow
Conference
Citations 
PageRank 
References 
3
0.42
5
Authors
4
Name
Order
Citations
PageRank
Jian Li1303.05
Stavri G. Nikolov224612.64
Christopher P. Benton381.20
Nicholas E. Scott-Samuel491.58