Scanpath assessment of visible and infrared side-by-side and fused video displays

TD Dixon, JM Noyes, T Troscianko, SG Nikolov, JJ Lewis, EF Canga, DR Bull, CN Canagarajah

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

2 Citations (Scopus)
332 Downloads (Pure)


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 dual-tree 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-by-side 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.
Translated title of the contributionScanpath assessment of visible and infrared side-by-side and fused video displays
Original languageEnglish
Title of host publication10th International Conference on Information Fusion, 2007, Quebec
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1 - 8
Number of pages8
ISBN (Print)9780662458043
Publication statusPublished - Jul 2007
EventInternational Conference on Information Fusion - Quebec, Canada
Duration: 1 Jul 2007 → …


ConferenceInternational Conference on Information Fusion
Period1/07/07 → …

Bibliographical note

Rose publication type: Conference contribution

Sponsorship: This project is funded by the UK MOD Data and
Information Fusion Defence Technology Centre (DIFDTC). We would like to thank the Eden Project in Cornwall, UK, for their support in this project.

Terms of use: Copyright © 2007 IEEE. Reprinted from 10th International Conference on Information Fusion, 2007.

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  • image fusion
  • video fusion
  • scanpath analysis
  • video assessment
  • eye tracking
  • psychophysics
  • side-by-side displays
  • adjacent displays

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