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.
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Simac-Lejeune, A., Marat, S., Pellerin, D., Lambert, P., Rombaut, M., Guyader, N. (2009). Relevance of Interest Points for Eye Position Prediction on Videos. In: Fritz, M., Schiele, B., Piater, J.H. (eds) Computer Vision Systems. ICVS 2009. Lecture Notes in Computer Science, vol 5815. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04667-4_33
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DOI: https://doi.org/10.1007/978-3-642-04667-4_33
Publisher Name: Springer, Berlin, Heidelberg
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