Scanpath analysis of fused multi-sensor images with luminance change:a pilot study

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

doi:10.1109/ICIF.2006.301570

Scanpath analysis of fused multi-sensor images with luminance change:a pilot study

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

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

16 Citations (Scopus)

552 Downloads (Pure)

Abstract

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, pixel-averaged, contrast pyramid, and dual-tree complex wavelet fused video sequences. They viewed each display and sequence three times to compare inter-subject 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

Translated title of the contribution	Scanpath analysis of fused multi-sensor images with luminance change: a pilot study
Original language	English
Title of host publication	2006 9th International Conference on Information Fusion (ICIF '06) Florence, Italy
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1 - 8
Number of pages	9
ISBN (Print)	0972184465, 1424409535
DOIs	https://doi.org/10.1109/ICIF.2006.301570
Publication status	Published - Jul 2006
Event	9th International Conference on Information Fusion - Florence, Italy Duration: 1 Jul 2006 → …

Conference

Conference	9th International Conference on Information Fusion
Country/Territory	Italy
City	Florence
Period	1/07/06 → …

Bibliographical note

Rose publication type: Conference contribution

Sponsorship: This work has been funded by the UK MOD Data and
Information Fusion Defence Technology Center.
Scanpath data will be made public at:
www.Scanpaths.org, whilst videos used in this study are
available at: www.ImageFusion.org.

Terms of use: Copyright © 2006 IEEE. Reprinted from 9th International Conference on Information Fusion, 2006.
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 [email protected].

By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

Keywords

image fusion
video fusion
scanpath analysis
video assessment
eye-tracking
psychophysics

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10.1109/ICIF.2006.301570

Dixon InfoFusion 2006Accepted author manuscript, 10 MB

http://hdl.handle.net/1983/1449

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Dixon, TD., Li, J., Noyes, JM., Troscianko, T., Nikolov, SG., Lewis, JJ., Canga, EF., Bull, DR., & Canagarajah, CN. (2006). Scanpath analysis of fused multi-sensor images with luminance change:a pilot study. In 2006 9th International Conference on Information Fusion (ICIF '06) Florence, Italy (pp. 1 - 8). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICIF.2006.301570

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abstract = "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, pixel-averaged, contrast pyramid, and dual-tree complex wavelet fused video sequences. They viewed each display and sequence three times to compare inter-subject 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",

keywords = "image fusion, video fusion, scanpath analysis, video assessment, eye-tracking, psychophysics",

author = "TD Dixon and J Li and JM Noyes and T Troscianko and SG Nikolov and JJ Lewis and EF Canga and DR Bull and CN Canagarajah",

note = "Rose publication type: Conference contribution Sponsorship: This work has been funded by the UK MOD Data and Information Fusion Defence Technology Center. Scanpath data will be made public at: www.Scanpaths.org, whilst videos used in this study are available at: www.ImageFusion.org. Terms of use: Copyright {\textcopyright} 2006 IEEE. Reprinted from 9th International Conference on Information Fusion, 2006. 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 [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. ; 9th International Conference on Information Fusion ; Conference date: 01-07-2006",

year = "2006",

month = jul,

doi = "10.1109/ICIF.2006.301570",

language = "English",

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Dixon, TD, Li, J, Noyes, JM, Troscianko, T, Nikolov, SG, Lewis, JJ, Canga, EF, Bull, DR & Canagarajah, CN 2006, Scanpath analysis of fused multi-sensor images with luminance change:a pilot study. in 2006 9th International Conference on Information Fusion (ICIF '06) Florence, Italy. Institute of Electrical and Electronics Engineers (IEEE), pp. 1 - 8, 9th International Conference on Information Fusion, Florence, Italy, 1/07/06. https://doi.org/10.1109/ICIF.2006.301570

Scanpath analysis of fused multi-sensor images with luminance change:a pilot study. / Dixon, TD; Li, J; Noyes, JM et al.
2006 9th International Conference on Information Fusion (ICIF '06) Florence, Italy. Institute of Electrical and Electronics Engineers (IEEE), 2006. p. 1 - 8.

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

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AU - Li, J

AU - Noyes, JM

AU - Troscianko, T

AU - Nikolov, SG

AU - Lewis, JJ

AU - Canga, EF

AU - Bull, DR

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N1 - Rose publication type: Conference contribution Sponsorship: This work has been funded by the UK MOD Data and Information Fusion Defence Technology Center. Scanpath data will be made public at: www.Scanpaths.org, whilst videos used in this study are available at: www.ImageFusion.org. Terms of use: Copyright © 2006 IEEE. Reprinted from 9th International Conference on Information Fusion, 2006. 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 [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

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N2 - 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, pixel-averaged, contrast pyramid, and dual-tree complex wavelet fused video sequences. They viewed each display and sequence three times to compare inter-subject 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

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KW - video fusion

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KW - eye-tracking

KW - psychophysics

U2 - 10.1109/ICIF.2006.301570

DO - 10.1109/ICIF.2006.301570

M3 - Conference Contribution (Conference Proceeding)

SN - 0972184465

SN - 1424409535

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BT - 2006 9th International Conference on Information Fusion (ICIF '06) Florence, Italy

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 9th International Conference on Information Fusion

Y2 - 1 July 2006

ER -

Scanpath analysis of fused multi-sensor images with luminance change:a pilot study

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Keywords

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