Towards building a system that describes large-scale saccades over constrained images

Graduate

Author: Arun Abraham Ross
Advisor: Dr. Sridhar Mahadevan
Email: rossarun@cse.msu.edu; http://www.cse.msu.edu/~rossarun

Researchers in human vision have long been intrigued by the saccadic movement of the human eye as it regards a scene. On being presented with a scene, the human eye attends to various regions in the scene by a series of abrupt and jerky eye movements called saccades that are interspersed with periods of rest called fixations. A better understanding of this process would go a long way in knowing how humans acquire and store information. In this project we attempt to explain the first few fixations made by the human eye on encountering a scene by selecting two visual factors, quantizing these factors and using them to build a saliency map framework. Such a map would be an ideal launch pad to predict potential saccade targets in a scene.

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