F-Formation Detection: Individuating Free-Standing Conversational Groups in Images

Francesco Setti, Chris Russell, Chiara Bassetti and Marco Cristani

PLOS ONE, 2015, vol. 10, issue 5, 1-26

Abstract: Detection of groups of interacting people is a very interesting and useful task in many modern technologies, with application fields spanning from video-surveillance to social robotics. In this paper we first furnish a rigorous definition of group considering the background of the social sciences: this allows us to specify many kinds of group, so far neglected in the Computer Vision literature. On top of this taxonomy we present a detailed state of the art on the group detection algorithms. Then, as a main contribution, we present a brand new method for the automatic detection of groups in still images, which is based on a graph-cuts framework for clustering individuals; in particular, we are able to codify in a computational sense the sociological definition of F-formation, that is very useful to encode a group having only proxemic information: position and orientation of people. We call the proposed method Graph-Cuts for F-formation (GCFF). We show how GCFF definitely outperforms all the state of the art methods in terms of different accuracy measures (some of them are brand new), demonstrating also a strong robustness to noise and versatility in recognizing groups of various cardinality.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0123783

DOI: 10.1371/journal.pone.0123783

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