DocumentCode :
615112
Title :
Recognizing people by face and body in Photo Collections
Author :
Brenner, Markus ; Izquierdo, Ebroul
Author_Institution :
Sch. of Electron. Eng. & Comput. Sci., Queen Mary Univ. of London, London, UK
fYear :
2013
fDate :
22-26 April 2013
Firstpage :
1
Lastpage :
7
Abstract :
We show how to detect and recognize people based on their faces and bodies in Consumer Photo Collections. We devise a graphical model that incorporates multiple contextual cues to discriminate faces, upper and lower bodies, and ultimately, individuals without relying on faces. For efficiency, we only consider body features when faces are not discriminative enough. Experiments on two datasets demonstrate the effectiveness of our probabilistic approach.
Keywords :
face recognition; graph theory; probability; body features; consumer photo collections; datasets; graphical model; multiple contextual cues; people detection; people recognition; probabilistic approach; Clothing; Face; Face recognition; Feature extraction; Graphical models; Testing; Training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automatic Face and Gesture Recognition (FG), 2013 10th IEEE International Conference and Workshops on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-5545-2
Electronic_ISBN :
978-1-4673-5544-5
Type :
conf
DOI :
10.1109/FG.2013.6553751
Filename :
6553751
Link To Document :
بازگشت