Saliency maps for predicting areas of human fixations from images have been actively studied. In order to improve the accuracy of the video saliency model, we compared the saliency map predicted by video saliency models with the saliency map measured by experiment. We found that the area of fixations is biased in the direction where the target is moving and the target cannot be gazed at when the motion of the target changes. Moreover, we confirmed that the findings are unavailable for one of the state-of-the-art video saliency models, STSANet.
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