Motion-Based Video Fusion Using Optical Flow Information

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