Understanding images of groups of people 论文

20092009 IEEE Conference on Computer Vision and Pattern Recognition引用 357
Face recognition and analysisAdvanced Image and Video Retrieval TechniquesVideo Surveillance and Tracking Methods

详细信息

发表期刊/会议
2009 IEEE Conference on Computer Vision and Pattern Recognition
发表日期
2009-06-01
发表年份
2009

关键词

Face recognition and analysisAdvanced Image and Video Retrieval TechniquesVideo Surveillance and Tracking Methods

摘要

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.