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Computational Model for Probability Prediction of Scan Paths in Static Scenes

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.