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Cited by 351

The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.

Understanding images of groups of people

Gallagher, Andrew C., Chen, Tsuhan·2009·2009 IEEE Conference on Computer Vision and Pattern Recognition

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.

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Metadata

Authors
Gallagher, A. C., & Chen, T.
Venue
2009 IEEE Conference on Computer Vision and Pattern Recognition
Publisher
IEEE
Published
2009-06
Pages
256-263
ISSN
1063-6919 (ISSN-L)
OpenAlex
W2135964285
Cited by
351
References
24
FWCI
13.09
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Understanding images of groups of people. https://app.cochat.ai/papers/10.1109/cvpr.2009.5206828
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Gallagher, A. C., & Chen, T. (2009). Understanding images of groups of people. 2009 IEEE Conference on Computer Vision and Pattern Recognition. https://doi.org/10.1109/cvpr.2009.5206828

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