We present an unsupervised approach for the automatic detection of static interactive groups. The approach builds upon a novel multi-scale Hough voting policy, which incorporates in a flexible way the sociological notion of group as F-formation; the goal is to model at the same time small arrangements of close friends and aggregations of many individuals spread over a large area. Our technique is based on a competition of different voting sessions, each one specialized for a particular group cardinality; all the votes are then evaluated using information theoretic criteria, producing the final set of groups. The proposed technique has been applied on public benchmark sequences and a novel cocktail party dataset, evaluating new group detection metrics and obtaining state-of-the-art performances.

Multi-scale f-formation discovery for group detection

SETTI, FRANCESCO;FERRARIO, ROBERTA;MURINO, Vittorio;CRISTANI, Marco
2013-01-01

Abstract

We present an unsupervised approach for the automatic detection of static interactive groups. The approach builds upon a novel multi-scale Hough voting policy, which incorporates in a flexible way the sociological notion of group as F-formation; the goal is to model at the same time small arrangements of close friends and aggregations of many individuals spread over a large area. Our technique is based on a competition of different voting sessions, each one specialized for a particular group cardinality; all the votes are then evaluated using information theoretic criteria, producing the final set of groups. The proposed technique has been applied on public benchmark sequences and a novel cocktail party dataset, evaluating new group detection metrics and obtaining state-of-the-art performances.
2013
object detection, Hough transforms, group detection metrics, group detection, F-formation, information theoretic criteria, multiscale F-formation discovery, static interactive group automatic detection, Hough voting policy
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/961542
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