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 contribution||Scanpath assessment of visible and infrared side-by-side and fused video displays|
|Title of host publication||10th International Conference on Information Fusion, 2007, Quebec|
|Publisher||Institute of Electrical and Electronics Engineers (IEEE)|
|Pages||1 - 8|
|Number of pages||8|
|Publication status||Published - Jul 2007|
|Event||International Conference on Information Fusion - Quebec, Canada|
Duration: 1 Jul 2007 → …
|Conference||International Conference on Information Fusion|
|Period||1/07/07 → …|
Bibliographical noteRose 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.
This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to firstname.lastname@example.org.
By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
- image fusion
- video fusion
- scanpath analysis
- video assessment
- eye tracking
- side-by-side displays
- adjacent displays