COMPUTATIONAL MODEL FOR PROBABILITY PREDICTION OF SCAN PATHS IN STATIC SCENES

Yorie Nakahira, Minoru Nakayama

Abstract

We develop a computational model of scan paths when viewing static images. The proposed scan path model generates a dynamic distribution of visual attention using multiple image processing algorithms based on biological principles. The probability of any scan paths is computed from this distribution of visual attention at each subsequent numbered fixation. The validity of our model is tested using eye movement data. Our results verify the possibility of conventionally infeasible modeling of the scan paths for static images.

References

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Paper Citation


in Harvard Style

Nakahira Y. and Nakayama M. (2012). COMPUTATIONAL MODEL FOR PROBABILITY PREDICTION OF SCAN PATHS IN STATIC SCENES . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-03-7, pages 427-430. DOI: 10.5220/0003847504270430


in Bibtex Style

@conference{visapp12,
author={Yorie Nakahira and Minoru Nakayama},
title={COMPUTATIONAL MODEL FOR PROBABILITY PREDICTION OF SCAN PATHS IN STATIC SCENES},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={427-430},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003847504270430},
isbn={978-989-8565-03-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)
TI - COMPUTATIONAL MODEL FOR PROBABILITY PREDICTION OF SCAN PATHS IN STATIC SCENES
SN - 978-989-8565-03-7
AU - Nakahira Y.
AU - Nakayama M.
PY - 2012
SP - 427
EP - 430
DO - 10.5220/0003847504270430