2D IRPM for group detection

Social interactions by visual focus of attention in a three-dimensional environment
L. Bazzani, D. Tosato, M. Cristani, M. Farenzena, G. Pagetti, G. Menegaz, and V. Murino
Expert Systems 2013
IRPM code / video / bibtex
@article{Bazzani:ExpSys13,
  title = {Social Interactions by Visual Focus of Attention
           in a Three-Dimensional Environment},
  author = {Bazzani, L. and Tosato, D. and Cristani, M. and
            Farenzena, M. and Pagetti, G. and Menegaz, G. and
            Murino, V.},
  journal = {Expert Systems},
  year = {2013}
}
    

Analyzing groups: a social signaling perspective
L. Bazzani, M. Cristani, G. Paggetti, D. Tosato, G. Menegaz, and V. Murino.
Video Analytics for Business Intelligence, 2012.
IRPM code / bibtex
@incollection{Bazzani:VABI12,
  title = {Analyzing Groups: A Social Signaling Perspective},
  author = {Bazzani, L. and Cristani, M. and Paggetti, G. and
            Tosato, D. and Menegaz, G. and Murino, V.},
  booktitle = {Video Analytics for Business Intelligence},
  year = {2012},
  pages = {271-305},
  volume = {409}
}
    
Cite one of these two papers if you use IRPM

Details

In human behavior analysis, the Visual Focus Of Attention (VFOA) of a person is a very important cue. VFOA detection is difficult, though, especially in a unconstrained and crowded environment, typical of video surveillance scenarios. We estimate the VFOA by defining the Subjective View Frustum, which approximates the visual field of a person in a 2D (ground floor) representation of the scene. This opens up to several intriguing behavioral investigations. In particular, we propose the Inter-Relation Pattern Matrix, that suggests possible social interactions between the people.

multiview_pic multiview_pic

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