Where's Waldo: Matching People in Images of Crowds
Venue
Proc. IEEE Conf. on Computer Vision and Pattern Recognition (2011), pp. 1793-1800
Publication Year
2011
Authors
Rahul Garg, Deva Ramanan, Steven M. Seitz, Noah Snavely
BibTeX
Abstract
Given a community-contributed set of photos of a crowded public event, this paper
addresses the problem of finding all images of each person in the scene. This
problem is very challenging due to large changes in camera viewpoints, severe
occlusions, low resolution and photos from tens or hundreds of different
photographers. Despite these challenges, the problem is made tractable by
exploiting a variety of visual and contextual cues – appearance, timestamps, camera
pose and co-occurrence of people. This paper demonstrates an approach that
integrates these cues to enable high quality person matching in community photo
collections downloaded from Flickr.com
