2009 | OriginalPaper | Buchkapitel
Relevance of Interest Points for Eye Position Prediction on Videos
verfasst von : Alain Simac-Lejeune, Sophie Marat, Denis Pellerin, Patrick Lambert, Michèle Rombaut, Nathalie Guyader
Erschienen in: Computer Vision Systems
Verlag: Springer Berlin Heidelberg
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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.