PhotoAct: act on photo taking

Shuguang Wu, Jun Xiao, Ken Reily
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Abstract

In many commercial environments understanding the user's intention can lead to more engaging and intelligent user interactions. We looked at theme park photo kiosks where many people use their camera phones to capture their ride photos on preview displays. We believe that by identifying people with photo-taking intention and engaging them through intelligent UI can help reduce the instances of people opting for low quality but free screen capture. We built a prototype system called PhotoAct, using depth camera to recognize human postures and in real time infer people's photo-taking intentions. In this paper, we describe the system components, the detection algorithm, and present preliminary lab study results.
PhotoAct:模仿拍照
在许多商业环境中,理解用户的意图可以带来更吸引人、更智能的用户交互。我们考察了主题公园的照相亭,在那里,许多人用他们的照相手机在预览显示屏上拍摄他们的骑行照片。我们相信,通过识别有拍照意图的人,并通过智能UI吸引他们,可以帮助减少人们选择低质量但免费的屏幕截图的情况。我们建立了一个名为PhotoAct的原型系统,使用深度相机识别人体姿势,并实时推断人们的拍照意图。在本文中,我们描述了系统的组成,检测算法,并给出了初步的实验室研究结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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