Please use this identifier to cite or link to this item: https://doi.org/10.1109/CVPRW.2009.5206828
Title: Understanding images of groups of people
Authors: Gallagher A.C.
Chen T. 
Issue Date: 2009
Publisher: IEEE Computer Society
Citation: Gallagher A.C., Chen T. (2009). Understanding images of groups of people. 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition : 256-263. ScholarBank@NUS Repository. https://doi.org/10.1109/CVPRW.2009.5206828
Abstract: In many social settings, images of groups of people are captured. The structure of this group provides meaningful context for reasoning about individuals in the group, and about the structure of the scene as a whole. For example, men are more likely to stand on the edge of an image than women. Instead of treating each face independently from all others, we introduce contextual features that encapsulate the group structure locally (for each person in the group) and globally (the overall structure of the group). This ?social context? allows us to accomplish a variety of tasks, such as such as demographic recognition, calculating scene and camera parameters, and even event recognition. We perform human studies to show this context aids recognition of demographic information in images of strangers.
Source Title: 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009
URI: http://scholarbank.nus.edu.sg/handle/10635/146211
ISBN: 9781424439935
DOI: 10.1109/CVPRW.2009.5206828
Appears in Collections:Staff Publications

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