Title :
Understanding images of groups of people
Author :
Gallagher, Andrew ; Tsuhan Chen
Author_Institution :
Carnegie Mellon Univ., Pittsburgh, PA, USA
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.
Keywords :
demography; face recognition; camera parameters calculation; contextual features; demographic recognition; event recognition; face; group structure encapsulation; image understanding; people images; scene parameters calculation; social context; Cameras; Computer vision; Demography; Face detection; Face recognition; Feature extraction; Humans; Image recognition; Layout; Object detection;
Conference_Titel :
Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on
Conference_Location :
Miami, FL
Print_ISBN :
978-1-4244-3992-8
DOI :
10.1109/CVPR.2009.5206828