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Automatically detecting the small group structure of a crowd
2009
2009 Workshop on Applications of Computer Vision (WACV)
Recent work on computer vision analysis of crowds tends to focus on robustly tracking individuals through the crowd or on analyzing the overall pattern of flow. Our work seeks a deeper analysis of social behavior by identifying the small group structure of crowds, forming the basis for mid-level activity analysis at the granularity of human social groups. Building upon state-of-the-art algorithms for pedestrian detection and multi-object tracking, and inspired by social science models of human
doi:10.1109/wacv.2009.5403123
dblp:conf/wacv/GeCR09
fatcat:pne4earbwbayxj6ywxlomfrrni