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This paper presents a method for the detection and recognition of social interactions in a day-long first-person video of a social event, like a trip to an amusement park. The location and orientation of faces are estimated and used to compute the line of sight for each face. The context provided by all the faces in a frame is used to convert the lines of sight into locations in space to which individuals attend. Further, individuals are assigned roles based on their patterns of attention. Thedoi:10.1109/cvpr.2012.6247805 dblp:conf/cvpr/FathiHR12 fatcat:mvijo7nawncv3cusfhogtfuc3e