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  Exploring human eye behaviour using a model of visual attention (2004) [4 citations — 2 self]

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by Oyewole Oyekoya, Fred Stentiford
International Conference on Pattern Recognition
http://www.ercim.org/pub/bscw.cgi/0/../d28145/ICPR2.pdf
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Abstract:

It is natural in a visual search to look at any object that is similar to the target so that it can be recognised and a decision made to end the search. Eye tracking technology offers an intimate and immediate way of interpreting users ’ behaviours to guide a computer search through large image databases. This paper describes experiments carried out to explore the relationship between gaze behaviour and a visual attention model that identifies regions of interest in image data. Results show that there is a difference in behaviour on images that do and do not contain a clear region of interest. 1.

Citations

64 Modeling the role of salience in the allocation of overt visual attention – Parkhurst, Law, et al. - 2002
24 An Estimator for Visual Attention Through Competitive Novelty with Application to Image Compression – Stentiford - 2001
14 Fast hands-free writing by gaze direction. Nature 418 – Ward, MacKay - 2002
10 Modeling Visual Attention in VR: Measuring the Accuracy of Predicted Scanpaths – Marmitt, Duchowski - 2002
5 Algorithms for defining visual regions of interest: Comparison with eye fixations – Privitera, Stark - 2000
4 A cost effective solution for eye-gaze assistive technology – Corno, Farinetti, et al. - 2002
3 Using Human Observers' Eye Movements in Automatic Image Classifiers – Jaimes, Pelz, et al. - 2001
2 A three-level model of comparative visual search – Pomplun, Ritter - 1999
2 Speed browser controlled by eye movements – Numajiri, Nakamura, et al. - 2002
2 Eye gaze control of multimedia systems,” Symbiosis of Human and Artifact – Hansen, Anderson, et al. - 1995
1 Exploring the Significance of Visual Attention by Eye Tracking – Oyekoya, Stentiford