Recognizing two-person interactions in outdoor image sequences
نویسندگان
چکیده
This paper presents a methodology for identifying twoperson interactions in outdoor image sequences. By recognizing and tracking two persons over consecutive frames of monocular grayscale image sequences, we classify their interactions into several classes. Some of the interaction classes are: One person leaves another stationary person; two people meet coming from different directions; and one stationary person starts following another walking person. We use side-view image sequences obtained by a fixed camera. In these image sequences the subjects are frequently occluded and move perpendicular to the direction of the camera. We present results on tracking of persons and their interactions.
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