-Image fusion is the process of combining images of differing modalities, such as visible and infrared (IR) images. Significant work has recently been carried out comparing methods of fused image assessment, with findings strongly suggesting that a task-centred approach would be beneficial to the assessment process. The current paper reports a pilot study analysing eye movements of participants involved in four tasks. The first and second tasks involved tracking a human figure wearing camouflage clothing walking through thick undergrowth at light and dark luminance levels, whilst the third and fourth task required tracking an individual in a crowd, again at two luminance levels. Participants were shown the original visible and IR images individually, pixelaveraged, contrast pyramid, and dual-tree complex wavelet fused video sequences. They viewed each display and sequence three times to compare intersubject scanpath variability. This paper describes the initial analysis of the eye-tracking data gathered from the pilot study. These were also compared with computational metric assessment of the image sequences.

-Advances in fusion of multi-sensor inputs have necessitated the creation of more sophisticated fused image assessment techniques. The current work extends previous studies investigating participant accuracy in tracking individuals in a video sequence. Participants were shown visible and IR videos individually and the two video inputs side-by-side, as well as averaged, discrete wavelet transform, and dualtree complex wavelet transform fused videos. Two scenarios were shown to participants: one featured a camouflaged man walking down a pathway through foliage and across a clearing; the other featured several individuals moving around the clearing. The side-byside scanpath data were analysed by studying how often participants looked at the visible and infrared sides, and analysing how accurately participants tracked the given target, and compared with previously analysed data. The results of this study are discussed in the context of wider applications to image assessment, and the potential for modelling human scanpath performance.