Computational Modeling and Analysis of Human Gaze Behavior

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Computer vision systems are increasingly using focal processing, and directed gaze to deal with complex problems such as object recognition in real-world environments. In understanding this problem domain, it also becomes possible to address a number of other important areas of Computer Science in a principled manner such as designing a user interface, guiding robots to look at relevant items, enhancing visualization of data, or understanding why someone might become distracted by an in car display while driving.****Historically technological limitations confined the study of these issues to relatively constrained scenarios such as viewing pictures on a computer monitor in a lab. More recent technological advancements present the possibility of moving outside of the lab and into the real world. This research targets a rich set of realistic viewing scenarios that range from considering 3D, to egocentric viewing, to modeling in the presence of a complete structural representation of the environment.****This includes understanding a number of contributing factors to gaze allocation at a computational level including the role that context plays in viewing behavior. If one were to spot a bright glowing light in the forest, this may be quite an event, but the same light flashing in the middle of Times Square wouldn't warrant a second thought.****The novel lines of research put forth will serve to significantly enrich the body of computational models of viewing behavior and their ties to a wide range of important application domains. The nature in which these problems are addressed will have impact at the level of inspiring further efforts that apply a similar formalism in addressing these issues, while having broad influence and visibility at an international level.******************************