کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4033619 | 1263362 | 2015 | 13 صفحه PDF | دانلود رایگان |

• We propose a new model to predict observer’s visual scanpath.
• We model the joint distribution of saccade amplitudes and orientations.
• A model for simulating the inhibition-of-return is proposed.
• Performances are evaluated against state-of-the-art models.
In this paper, we propose a new framework to predict visual scanpaths of observers while they freely watch a visual scene. The visual fixations are inferred from bottom-up saliency and several oculomotor biases. Bottom-up saliency is represented by a saliency map whereas the oculomotor biases (saccade amplitudes and saccade orientations) are modeled using public eye tracking datasets. Our experiments show that the simulated scanpaths exhibit similar trends of human eye movements in a free-viewing condition. The generated scanpaths are more similar to human scanpaths than those generated by two existing methods. In addition, we show that computing saliency maps from simulated visual scanpaths allows to outperform existing saliency models.
Journal: Vision Research - Volume 116, Part B, November 2015, Pages 152–164