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MEB methodology can precisely measure cardiac output and peripheral limb flow in healthy volunteers.

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This paper reviews a research programme aimed at extracting and utilising object localisation information from sequences of visible band and infrared imagery. The techniques are entirely passive and are based on the relative positions of objects and features taken from a pre-prepared scene database. The techniques used in this project are based on existing techniques for navigation by Scene Matching and Area Correlation (SMAC) and have been adapted for the object localisation task. The paper also considers the use of a Multiple Hypothesis Tracking (MHT) system for the automatic tracking of the known ground features.