Computational Modeling and Analysis of Human Gaze Behavior

人类凝视行为的计算建模和分析

• 批准号: 435484-2013
• 负责人: Bruce, Neil
• 金额: $ 1.46万
• 依托单位: University of Manitoba
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=646411
• 关键词: Computational; Modeling; Analysis; Human; Gaze

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.******************************

计算机视觉系统越来越多地使用焦点处理和定向凝视来处理复杂的问题，例如现实世界环境中的对象识别。在理解这个问题领域时，也可以以原则性的方式解决计算机科学的许多其他重要领域，例如设计用户界面，引导机器人查看相关项目，增强数据的可视化，或者理解为什么有人在开车时可能会被车内显示器分心。历史上，技术限制将这些问题的研究局限于相对受限的场景，例如在实验室的计算机显示器上查看图片。最近的技术进步提出了走出实验室进入真实的世界的可能性。这项研究的目标是一组丰富的逼真的观看场景，从考虑3D到以自我为中心的观看，再到在环境的完整结构表示中建模。这包括理解在计算水平上对注视分配的许多贡献因素，包括上下文在观看行为中所起的作用。如果有人在森林中发现一盏明亮的灯，这可能是一个相当大的事件，但同样的灯在时代广场中间闪烁不会值得第二次思考。提出的新的研究路线将有助于显着丰富身体的观看行为的计算模型及其联系到广泛的重要应用领域。处理这些问题的性质将产生影响，鼓励进一步努力，采用类似的形式主义来处理这些问题，同时在国际一级具有广泛的影响力和可见度。