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Localizing the Gaze Target of a Crowd of People

机译:本地化一群人的凝视目标

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What target is focused on by many people? Analysis of the target is a crucial task, especially in a cinema, a stadium, and so on. However, it is very difficult to estimate the gaze of each person in a crowd accurately and simultaneously with existing image-based eye tracking methods, since the image resolution of each person becomes low when we capture the whole crowd with a distant camera. Therefore, we introduce a new approach for localizing the gaze target focused on by a crowd of people. The proposed framework aggregates the individually estimated results of each person's gaze. It enables us to localize the target being focused on by them even though each person's gaze localization from a low-resolution image is inaccurate. We analyze the effects of an aggregation method on the localization accuracy using images capturing a crowd of people in a tennis stadium under the assumption that all of the people are focusing on the same target, and also investigate the effect of the number of people involved in the aggregation on the localization accuracy. As a result, the proposed method showed the ability to improve the localization accuracy as it is applied to a larger crowd of people.
机译:什么目标的重点是由多少人?目标分析是极为重要的任务,尤其是在电影院,体育场,等等。然而,这是很难用现有的基于图像的眼动追踪方法准确,同时估计每个人的目光在人群中,因为每个人的图像分辨率变低的时候,我们有一个遥远的相机捕捉到整个人群。因此,我们推出本地化的注视目标的新方法侧重于通过一大群人。拟议的框架汇聚每个人的注视的单独估计结果。它使我们能够定位目标正集中于他们,即使每个人的目光定位从低分辨率图像是不准确的。我们使用捕捉的一大群人在假设下一个网球赛场,所有的人都集中在同一个目标图像分析的定位精度的聚合方法的效果,同时还调查参与人数的影响在定位精度聚集。其结果是,所提出的方法表现为它是适用于人一个更大的人群,以提高定位精度的能力。

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