loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Yorie Nakahira and Minoru Nakayama

Affiliation: Tokyo Institute of Technology, Japan

Keyword(s): Eye Movements, Scan Path, Fixation, Static Scenes, Probability Prediction.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Visual Attention and Image Saliency

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.229.124.236

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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 (VISIGRAPP 2012) - Volume 2: VISAPP; ISBN 978-989-8565-03-7; ISSN 2184-4321, SciTePress, pages 427-430. DOI: 10.5220/0003847504270430

@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 (VISIGRAPP 2012) - Volume 2: VISAPP},
year={2012},
pages={427-430},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003847504270430},
isbn={978-989-8565-03-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP
TI - COMPUTATIONAL MODEL FOR PROBABILITY PREDICTION OF SCAN PATHS IN STATIC SCENES
SN - 978-989-8565-03-7
IS - 2184-4321
AU - Nakahira, Y.
AU - Nakayama, M.
PY - 2012
SP - 427
EP - 430
DO - 10.5220/0003847504270430
PB - SciTePress