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Social interactions by visual focus of attention in a three‐dimensional environment
Author(s) -
Bazzani L.,
Cristani M.,
Tosato D.,
Farenzena M.,
Paggetti G.,
Menegaz G.,
Murino V.
Publication year - 2013
Publication title -
expert systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 38
eISSN - 1468-0394
pISSN - 0266-4720
DOI - 10.1111/j.1468-0394.2012.00622.x
Subject(s) - computer science , focus (optics) , representation (politics) , relation (database) , field (mathematics) , artificial intelligence , matrix (chemical analysis) , data mining , mathematics , physics , materials science , politics , political science , optics , composite material , law , pure mathematics
In human behaviour 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. In this paper, we estimate the VFOA by defining the Subjective View Frustum, which approximates the visual field of a person in a three‐dimensional representation of the scene. This opens up to several intriguing behavioural investigations. In particular, we propose the Inter‐Relation Pattern Matrix, which suggests possible social interactions between the people present in a scene. Theoretical justifications and experimental results substantiate the validity and the goodness of the analysis performed.