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Social interaction discovery by statistical analysis of F-formations

M. Cristani, L. Bazzani, G. Paggetti, A. Fossati, D. Tosato, A. Del Bue, G. Menegaz and V. Murino
British Machine Vision Conference
August 2011


We present a novel approach for detecting social interactions in a crowded scene by employing solely visual cues. The detection of social interactions in unconstrained scenarios is a valuable and important task, especially for surveillance purposes. Our proposal is inspired by the social signaling literature, and in particular it considers the sociological notion of F-formation. An F-formation is a set of possible configurations in space that people may assume while participating in a social interaction. Our system takes as input the positions of the people in a scene and their (head) orientations; then, employing a voting strategy based on the Hough transform, it recognizes F-formations and the individuals associated with them. Experiments on simulations and real data promote our idea.

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  author = {M. Cristani and L. Bazzani and G. Paggetti and A. Fossati and D. Tosato and A. Del Bue and G. Menegaz and V. Murino},
  title = {Social interaction discovery by statistical analysis of F-formations},
  booktitle = {British Machine Vision Conference},
  year = {2011},
  month = {August},
  keywords = {}