Motion-based video fusion using optical flow information

J Li, SG Nikolov, CP Benton, NE Scott-Samuel

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

6 Citations (Scopus)

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
Translated title of the contributionMotion-based video fusion using optical flow information
Original languageEnglish
Title of host publication9th International Conference on Information Fusion, Florence, Italy
Pages1786 - 1793
Number of pages8
Volume1-4
DOIs
Publication statusPublished - 10 Jul 2006

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