Looking at People and Web-Scale Image Analysis

观察人物和网络规模的图像分析

• 批准号: RGPIN-2015-05630
• 负责人: Fleet, David
• 金额: $ 5.32万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=634347
• 关键词: Looking; People; Web; Scale; Image

Humans are intensely social, and as such we spend a lot of time looking at people. With a simple glance we perceive pose, actions, interactions, intentions and emotions, all of which are necessary for effective social interaction. Future computers are going to spend as much time looking at people as we do. This will be important for the design of new man-machine interfaces, perceptive consumer devices, surveillance systems, aids for the visually impaired, and myriad systems we have yet to envision.

人类具有强烈的社会性，因此我们花了很多时间来观察人们。通过简单的一瞥，我们感知到姿势，动作，互动，意图和情绪，所有这些都是有效的社交互动所必需的。未来的计算机将花和我们一样多的时间来观察人。这对于设计新的人机界面、感知消费设备、监控系统、视障者辅助设备以及我们尚未设想的无数系统都很重要。