Relevance of Interest Points for Eye Position Prediction on Videos

Authors:
Alain Simac-Lejeune;Sophie Marat;Denis Pellerin;Patrick Lambert;Michèle Rombaut;Nathalie Guyader
Affiliations:
Gipsa-lab, Grenoble Cedex, France F-38402 and Listic (Université de Savoie), Annecy-le-Vieux Cedex, France 74944;Gipsa-lab, Grenoble Cedex, France F-38402;Gipsa-lab, Grenoble Cedex, France F-38402;Listic (Université de Savoie), Annecy-le-Vieux Cedex, France 74944;Gipsa-lab, Grenoble Cedex, France F-38402;Gipsa-lab, Grenoble Cedex, France F-38402
Venue:
ICVS '09 Proceedings of the 7th International Conference on Computer Vision Systems: Computer Vision Systems
Year:
2009

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Abstract

This papers tests the relevance of interest points to predict eye movements of subjects when viewing video sequences freely. Moreover the papers compares the eye positions of subjects with interest maps obtained using two classical interest point detectors: one spatial and one space-time. We fund that in function of the video sequence, and more especially in function of the motion inside the sequence, the spatial or the space-time interest point detector is more or less relevant to predict eye movements.