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Beyond F-Formations: Determining Social Involvement in Free Standing Conversing Groups from Static Images

机译：超越F形式：从静态图像确定在独立站立的会话组中的社会参与

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摘要

In this paper, we present the first attempt to analyse differing levels of social involvement in free standing conversing groups (or the so-called F-formations) from static images. In addition, we enrich state-of-the-art F-formation modelling by learning a frustum of attention that accounts for the spatial context. That is, F-formation configurations vary with respect to the arrangement of furniture and the non-uniform crowdedness in the space during mingling scenarios. The majority of prior works have considered the labelling of conversing group as an objective task, requiring only a single annotator. However, we show that by embracing the subjectivity of social involvement, we not only generate a richer model of the social interactions in a scene but also significantly improve F-formation detection. We carry out extensive experimental validation of our proposed approach by collecting a novel set of multi-annotator labels of involvement on the publicly available Idiap Poster Data, the only multi-annotator labelled database of free standing conversing groups that is currently available.
机译：在本文中，我们提出了从静态图像分析自由站立的会话组（或所谓的F形式）中不同程度的社会参与的首次尝试。此外，我们通过学习关注空间背景的视锥，丰富了最新的F形式建模。即，F形构造关于家具的布置以及在混合场景期间空间中的不均匀拥挤而变化。大多数先前的工作都将标记会话组视为一项客观任务，只需要一个注释者即可。但是，我们表明，通过拥抱社会参与的主观性，我们不仅可以生成场景中社会互动的更丰富的模型，而且可以显着改善F形成检测。我们通过收集一组公开参与的Idiap海报数据涉及的新颖的多注释符标签，对提议的方法进行了广泛的实验验证，这是目前唯一的独立会话群组的多注释符标记的数据库。

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