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http://dx.doi.org/10.12673/jant.2014.18.6.533

A Study on a Smart Digital Signage Using Bayesian Age Estimation Technique for the Next Generation Airport Service  

Kim, Chun-Ho (Department of Guided Rocket Systems PMO, Agency for Defense Development)
Lee, Dong Woo (Department of Avionics & Electronics, Korea Aerospace University)
Baek, Gyeong Min (Department of Avionics & Electronics, Korea Aerospace University)
Moon, Seong Yeop (Department of Avionics & Electronics, Korea Aerospace University)
Heo, Chan (Department of Computer Engineering, Korea Aerospace University)
Na, Jong Whoa (Department of Avionics & Electronics, Korea Aerospace University)
Ohn, Seung-Yup (Department of Computer Engineering, Korea Aerospace University)
Choi, Woo Young (Department of Electronics Engineering, Myongji University)
Abstract
We propose an age estimation-based smart digital signage for the next-generation airport service. The proposed system can recognize the face of the customer so that it can display the selective information. Using a webcam, the system captures the face of the customer and estimates the age of the customer by calculating the wrinkle density of the face and applying bayesian classifier. The developed age estimation method is tested with a face database for the performance evaluation. We expect the new digital signage may improve the satisfaction of customers of the airport business.
Keywords
Digital signage; Age estimation; Face detection; Airport service;
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Times Cited By KSCI : 1  (Citation Analysis)
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