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Implementation of age and gender recognition system for intelligent digital signage

Title
Implementation of age and gender recognition system for intelligent digital signage
Authors
Lee, Sang-HeonSohn, Myoung-KyuKim, Hyunduk
DGIST Authors
Lee, Sang-Heon; Sohn, Myoung-Kyu; Kim, Hyunduk
Issue Date
2015
Citation
8th International Conference on Machine Vision, ICMV 2015, 9875
Type
Conference
Article Type
Conference Paper
ISBN
9780000000000
ISSN
0277-786X
Abstract
Intelligent digital signage systems transmit customized advertising and information by analyzing users and customers, unlike existing system that presented advertising in the form of broadcast without regard to type of customers. Currently, development of intelligent digital signage system has been pushed forward vigorously. In this study, we designed a system capable of analyzing gender and age of customers based on image obtained from camera, although there are many different methods for analyzing customers. We conducted age and gender recognition experiments using public database. The age/gender recognition experiments were performed through histogram matching method by extracting Local binary patterns (LBP) features after facial area on input image was normalized. The results of experiment showed that gender recognition rate was as high as approximately 97% on average. Age recognition was conducted based on categorization into 5 age classes. Age recognition rates for women and men were about 67% and 68%, respectively when that conducted separately for different gender. © 2015 SPIE.
URI
http://hdl.handle.net/20.500.11750/3704
DOI
10.1117/12.2228520
Publisher
SPIE
Files:
There are no files associated with this item.
Collection:
Division of IoT∙Robotics Convergence Research2. Conference Papers
Convergence Research Center for Future Automotive Technology2. Conference Papers


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