Please use this identifier to cite or link to this item:
https://doi.org/10.1109/ICME.2009.5202568
Title: | Finding rows of people in group images | Authors: | Gallagher A.C. Chen T. |
Keywords: | Graph cuts Group shots Object recognition People |
Issue Date: | 2009 | Citation: | Gallagher A.C., Chen T. (2009). Finding rows of people in group images. Proceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009 : 602-605. ScholarBank@NUS Repository. https://doi.org/10.1109/ICME.2009.5202568 | Abstract: | People are among the most popular subjects in photography, and in many social settings, images of groups of people are captured. People often arrange themselves in a very structured manner in these group images. For example, taller peoplemight stand in a row behind smaller people. This structure is often exploited in captions that sequentially label the individuals in each row. We present an algorithm for automatically finding rows of people in group images. A graph is defined for the image, where each face is a vertex. Energy terms are learned from a training set of images. A minimum cut on this graph defines the rows of people in the image. On our test set, the algorithm achieves perfect results with 67.5% of the images. Detecting rows of people is useful for a number of applications. | Source Title: | Proceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009 | URI: | http://scholarbank.nus.edu.sg/handle/10635/146197 | ISBN: | 9781424442911 | DOI: | 10.1109/ICME.2009.5202568 |
Appears in Collections: | Staff Publications |
Show full item record
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.